2.Base_models.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<summary>Table of Contents</summary>\n",
    "\n",
    "- [1. Naive/ persistence forecast](#1-naive-persistence-forecast)\n",
    "- [2. S(ARIMA)](#2-sarima)\n",
    "\n",
    "\n",
    "Script with naive forecast and (S)ARIMA. Please note that in my thesis GB (Great Britain) is UK (United Kingdom). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np \n",
    "import pandas as pd\n",
    "import time \n",
    "\n",
    "from pmdarima import auto_arima\n",
    "from utils.helper import split_scale_dataset, running_time\n",
    "\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load data\n",
    "combined_df = pd.read_csv(\"datasets/combined_data.csv\", index_col=0, parse_dates=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Split and scale datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29136 observations in the train dataset.\n",
      "6240 observations in the validation dataset. \n",
      "6240 observations in the test dataset.\n"
     ]
    }
   ],
   "source": [
    "train, vali, test = split_scale_dataset(combined_df, train_split=0.7, test_split=0.15, scaler_type='minmax')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DE_load_actual_entsoe_transparency</th>\n",
       "      <th>DE_solar_generation_actual</th>\n",
       "      <th>DE_wind_generation_actual</th>\n",
       "      <th>DE_wind_offshore_generation_actual</th>\n",
       "      <th>DE_wind_onshore_generation_actual</th>\n",
       "      <th>GB_UKM_load_actual_entsoe_transparency</th>\n",
       "      <th>GB_UKM_solar_generation_actual</th>\n",
       "      <th>GB_UKM_wind_generation_actual</th>\n",
       "      <th>GB_UKM_wind_offshore_generation_actual</th>\n",
       "      <th>GB_UKM_wind_onshore_generation_actual</th>\n",
       "      <th>ES_load_actual_entsoe_transparency</th>\n",
       "      <th>ES_solar_generation_actual</th>\n",
       "      <th>ES_wind_onshore_generation_actual</th>\n",
       "      <th>FR_load_actual_entsoe_transparency</th>\n",
       "      <th>FR_solar_generation_actual</th>\n",
       "      <th>FR_wind_onshore_generation_actual</th>\n",
       "      <th>IT_load_actual_entsoe_transparency</th>\n",
       "      <th>IT_solar_generation_actual</th>\n",
       "      <th>IT_wind_onshore_generation_actual</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "      <td>29136.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.54</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.22</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.54</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.74</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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      "text/plain": [
       "       DE_load_actual_entsoe_transparency  DE_solar_generation_actual  \\\n",
       "count                            29136.00                    29136.00   \n",
       "mean                                 0.54                        0.14   \n",
       "std                                  0.22                        0.22   \n",
       "min                                  0.00                        0.00   \n",
       "25%                                  0.36                        0.00   \n",
       "50%                                  0.54                        0.00   \n",
       "75%                                  0.74                        0.22   \n",
       "max                                  1.00                        1.00   \n",
       "\n",
       "       DE_wind_generation_actual  DE_wind_offshore_generation_actual  \\\n",
       "count                   29136.00                            29136.00   \n",
       "mean                        0.26                                0.33   \n",
       "std                         0.20                                0.24   \n",
       "min                         0.00                                0.00   \n",
       "25%                         0.10                                0.11   \n",
       "50%                         0.20                                0.30   \n",
       "75%                         0.36                                0.51   \n",
       "max                         1.00                                1.00   \n",
       "\n",
       "       DE_wind_onshore_generation_actual  \\\n",
       "count                           29136.00   \n",
       "mean                                0.24   \n",
       "std                                 0.20   \n",
       "min                                 0.00   \n",
       "25%                                 0.09   \n",
       "50%                                 0.18   \n",
       "75%                                 0.33   \n",
       "max                                 1.00   \n",
       "\n",
       "       GB_UKM_load_actual_entsoe_transparency  GB_UKM_solar_generation_actual  \\\n",
       "count                                29136.00                        29136.00   \n",
       "mean                                     0.61                            0.13   \n",
       "std                                      0.14                            0.20   \n",
       "min                                      0.00                            0.00   \n",
       "25%                                      0.50                            0.00   \n",
       "50%                                      0.63                            0.01   \n",
       "75%                                      0.71                            0.21   \n",
       "max                                      1.00                            1.00   \n",
       "\n",
       "       GB_UKM_wind_generation_actual  GB_UKM_wind_offshore_generation_actual  \\\n",
       "count                       29136.00                                29136.00   \n",
       "mean                            0.33                                    0.31   \n",
       "std                             0.21                                    0.21   \n",
       "min                             0.00                                    0.00   \n",
       "25%                             0.16                                    0.13   \n",
       "50%                             0.29                                    0.27   \n",
       "75%                             0.48                                    0.47   \n",
       "max                             1.00                                    1.00   \n",
       "\n",
       "       GB_UKM_wind_onshore_generation_actual  \\\n",
       "count                               29136.00   \n",
       "mean                                    0.31   \n",
       "std                                     0.20   \n",
       "min                                     0.00   \n",
       "25%                                     0.15   \n",
       "50%                                     0.28   \n",
       "75%                                     0.46   \n",
       "max                                     1.00   \n",
       "\n",
       "       ES_load_actual_entsoe_transparency  ES_solar_generation_actual  \\\n",
       "count                            29136.00                    29136.00   \n",
       "mean                                 0.47                        0.24   \n",
       "std                                  0.20                        0.29   \n",
       "min                                  0.00                        0.00   \n",
       "25%                                  0.30                        0.01   \n",
       "50%                                  0.48                        0.10   \n",
       "75%                                  0.63                        0.44   \n",
       "max                                  1.00                        1.00   \n",
       "\n",
       "       ES_wind_onshore_generation_actual  FR_load_actual_entsoe_transparency  \\\n",
       "count                           29136.00                            29136.00   \n",
       "mean                                0.32                                0.38   \n",
       "std                                 0.19                                0.19   \n",
       "min                                 0.00                                0.00   \n",
       "25%                                 0.17                                0.24   \n",
       "50%                                 0.29                                0.35   \n",
       "75%                                 0.43                                0.51   \n",
       "max                                 1.00                                1.00   \n",
       "\n",
       "       FR_solar_generation_actual  FR_wind_onshore_generation_actual  \\\n",
       "count                    29136.00                           29136.00   \n",
       "mean                         0.16                               0.20   \n",
       "std                          0.22                               0.18   \n",
       "min                          0.00                               0.00   \n",
       "25%                          0.00                               0.08   \n",
       "50%                          0.02                               0.15   \n",
       "75%                          0.30                               0.27   \n",
       "max                          1.00                               1.00   \n",
       "\n",
       "       IT_load_actual_entsoe_transparency  IT_solar_generation_actual  \\\n",
       "count                            29136.00                    29136.00   \n",
       "mean                                 0.46                        0.20   \n",
       "std                                  0.21                        0.28   \n",
       "min                                  0.00                        0.00   \n",
       "25%                                  0.28                        0.00   \n",
       "50%                                  0.45                        0.01   \n",
       "75%                                  0.64                        0.38   \n",
       "max                                  1.00                        1.00   \n",
       "\n",
       "       IT_wind_onshore_generation_actual  \n",
       "count                           29136.00  \n",
       "mean                                0.30  \n",
       "std                                 0.22  \n",
       "min                                 0.00  \n",
       "25%                                 0.12  \n",
       "50%                                 0.25  \n",
       "75%                                 0.44  \n",
       "max                                 1.00  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe().round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Naive/ persistence forecast\n",
    "\n",
    "Last 24, 96, 168 hours as \"predictions\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>MSE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAE</th>\n",
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       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th>Pred_len</th>\n",
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       "    <tr>\n",
       "      <th rowspan=\"15\" valign=\"top\">DE</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0176</td>\n",
       "      <td>0.1328</td>\n",
       "      <td>0.0869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0080</td>\n",
       "      <td>0.0896</td>\n",
       "      <td>0.0433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0419</td>\n",
       "      <td>0.2046</td>\n",
       "      <td>0.1504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.1273</td>\n",
       "      <td>0.3567</td>\n",
       "      <td>0.2717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0388</td>\n",
       "      <td>0.1970</td>\n",
       "      <td>0.1413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0419</td>\n",
       "      <td>0.2046</td>\n",
       "      <td>0.1614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0162</td>\n",
       "      <td>0.1274</td>\n",
       "      <td>0.0641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0780</td>\n",
       "      <td>0.2792</td>\n",
       "      <td>0.2165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.1822</td>\n",
       "      <td>0.4269</td>\n",
       "      <td>0.3410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0722</td>\n",
       "      <td>0.2688</td>\n",
       "      <td>0.2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0048</td>\n",
       "      <td>0.0696</td>\n",
       "      <td>0.0421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0189</td>\n",
       "      <td>0.1374</td>\n",
       "      <td>0.0708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0792</td>\n",
       "      <td>0.2813</td>\n",
       "      <td>0.2120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.1668</td>\n",
       "      <td>0.4084</td>\n",
       "      <td>0.3248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0744</td>\n",
       "      <td>0.2728</td>\n",
       "      <td>0.2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">ES</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0105</td>\n",
       "      <td>0.1024</td>\n",
       "      <td>0.0660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0197</td>\n",
       "      <td>0.1405</td>\n",
       "      <td>0.0775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0320</td>\n",
       "      <td>0.1789</td>\n",
       "      <td>0.1395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0247</td>\n",
       "      <td>0.1572</td>\n",
       "      <td>0.1201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.1907</td>\n",
       "      <td>0.1081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0586</td>\n",
       "      <td>0.2421</td>\n",
       "      <td>0.1893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0044</td>\n",
       "      <td>0.0660</td>\n",
       "      <td>0.0487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0452</td>\n",
       "      <td>0.2125</td>\n",
       "      <td>0.1213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0643</td>\n",
       "      <td>0.2536</td>\n",
       "      <td>0.2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">FR</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0036</td>\n",
       "      <td>0.0601</td>\n",
       "      <td>0.0410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0076</td>\n",
       "      <td>0.0871</td>\n",
       "      <td>0.0432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0484</td>\n",
       "      <td>0.2200</td>\n",
       "      <td>0.1559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0102</td>\n",
       "      <td>0.1008</td>\n",
       "      <td>0.0791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0166</td>\n",
       "      <td>0.1289</td>\n",
       "      <td>0.0672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0930</td>\n",
       "      <td>0.3050</td>\n",
       "      <td>0.2288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0041</td>\n",
       "      <td>0.0641</td>\n",
       "      <td>0.0427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0191</td>\n",
       "      <td>0.1382</td>\n",
       "      <td>0.0710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0820</td>\n",
       "      <td>0.2863</td>\n",
       "      <td>0.2105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"15\" valign=\"top\">GB</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0031</td>\n",
       "      <td>0.0560</td>\n",
       "      <td>0.0381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0101</td>\n",
       "      <td>0.1003</td>\n",
       "      <td>0.0503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0686</td>\n",
       "      <td>0.2620</td>\n",
       "      <td>0.1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.1344</td>\n",
       "      <td>0.3667</td>\n",
       "      <td>0.2757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0440</td>\n",
       "      <td>0.2097</td>\n",
       "      <td>0.1594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0057</td>\n",
       "      <td>0.0755</td>\n",
       "      <td>0.0562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0173</td>\n",
       "      <td>0.1316</td>\n",
       "      <td>0.0671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.1161</td>\n",
       "      <td>0.3407</td>\n",
       "      <td>0.2723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.2118</td>\n",
       "      <td>0.4603</td>\n",
       "      <td>0.3623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0724</td>\n",
       "      <td>0.2690</td>\n",
       "      <td>0.2130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0030</td>\n",
       "      <td>0.0552</td>\n",
       "      <td>0.0397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0201</td>\n",
       "      <td>0.1419</td>\n",
       "      <td>0.0741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.1075</td>\n",
       "      <td>0.3279</td>\n",
       "      <td>0.2596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.2053</td>\n",
       "      <td>0.4532</td>\n",
       "      <td>0.3543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0657</td>\n",
       "      <td>0.2564</td>\n",
       "      <td>0.2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">IT</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0155</td>\n",
       "      <td>0.1245</td>\n",
       "      <td>0.0776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0061</td>\n",
       "      <td>0.0780</td>\n",
       "      <td>0.0371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0526</td>\n",
       "      <td>0.2294</td>\n",
       "      <td>0.1752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0367</td>\n",
       "      <td>0.1917</td>\n",
       "      <td>0.1443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0109</td>\n",
       "      <td>0.1042</td>\n",
       "      <td>0.0496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0872</td>\n",
       "      <td>0.2954</td>\n",
       "      <td>0.2290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0058</td>\n",
       "      <td>0.0763</td>\n",
       "      <td>0.0505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0116</td>\n",
       "      <td>0.1077</td>\n",
       "      <td>0.0532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0822</td>\n",
       "      <td>0.2866</td>\n",
       "      <td>0.2238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   MSE    RMSE     MAE\n",
       "Country Pred_len Column                               \n",
       "DE      24       load           0.0176  0.1328  0.0869\n",
       "                 solar          0.0080  0.0896  0.0433\n",
       "                 wind           0.0419  0.2046  0.1504\n",
       "                 wind_offshore  0.1273  0.3567  0.2717\n",
       "                 wind_onshore   0.0388  0.1970  0.1413\n",
       "        96       load           0.0419  0.2046  0.1614\n",
       "                 solar          0.0162  0.1274  0.0641\n",
       "                 wind           0.0780  0.2792  0.2165\n",
       "                 wind_offshore  0.1822  0.4269  0.3410\n",
       "                 wind_onshore   0.0722  0.2688  0.2016\n",
       "        168      load           0.0048  0.0696  0.0421\n",
       "                 solar          0.0189  0.1374  0.0708\n",
       "                 wind           0.0792  0.2813  0.2120\n",
       "                 wind_offshore  0.1668  0.4084  0.3248\n",
       "                 wind_onshore   0.0744  0.2728  0.2007\n",
       "ES      24       load           0.0105  0.1024  0.0660\n",
       "                 solar          0.0197  0.1405  0.0775\n",
       "                 wind_onshore   0.0320  0.1789  0.1395\n",
       "        96       load           0.0247  0.1572  0.1201\n",
       "                 solar          0.0364  0.1907  0.1081\n",
       "                 wind_onshore   0.0586  0.2421  0.1893\n",
       "        168      load           0.0044  0.0660  0.0487\n",
       "                 solar          0.0452  0.2125  0.1213\n",
       "                 wind_onshore   0.0643  0.2536  0.2014\n",
       "FR      24       load           0.0036  0.0601  0.0410\n",
       "                 solar          0.0076  0.0871  0.0432\n",
       "                 wind_onshore   0.0484  0.2200  0.1559\n",
       "        96       load           0.0102  0.1008  0.0791\n",
       "                 solar          0.0166  0.1289  0.0672\n",
       "                 wind_onshore   0.0930  0.3050  0.2288\n",
       "        168      load           0.0041  0.0641  0.0427\n",
       "                 solar          0.0191  0.1382  0.0710\n",
       "                 wind_onshore   0.0820  0.2863  0.2105\n",
       "GB      24       load           0.0031  0.0560  0.0381\n",
       "                 solar          0.0101  0.1003  0.0503\n",
       "                 wind           0.0686  0.2620  0.1990\n",
       "                 wind_offshore  0.1344  0.3667  0.2757\n",
       "                 wind_onshore   0.0440  0.2097  0.1594\n",
       "        96       load           0.0057  0.0755  0.0562\n",
       "                 solar          0.0173  0.1316  0.0671\n",
       "                 wind           0.1161  0.3407  0.2723\n",
       "                 wind_offshore  0.2118  0.4603  0.3623\n",
       "                 wind_onshore   0.0724  0.2690  0.2130\n",
       "        168      load           0.0030  0.0552  0.0397\n",
       "                 solar          0.0201  0.1419  0.0741\n",
       "                 wind           0.1075  0.3279  0.2596\n",
       "                 wind_offshore  0.2053  0.4532  0.3543\n",
       "                 wind_onshore   0.0657  0.2564  0.2001\n",
       "IT      24       load           0.0155  0.1245  0.0776\n",
       "                 solar          0.0061  0.0780  0.0371\n",
       "                 wind_onshore   0.0526  0.2294  0.1752\n",
       "        96       load           0.0367  0.1917  0.1443\n",
       "                 solar          0.0109  0.1042  0.0496\n",
       "                 wind_onshore   0.0872  0.2954  0.2290\n",
       "        168      load           0.0058  0.0763  0.0505\n",
       "                 solar          0.0116  0.1077  0.0532\n",
       "                 wind_onshore   0.0822  0.2866  0.2238"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dictionary to rename columns\n",
    "rename_col_dict = {\n",
    "    'load_actual_entsoe_transparency': 'load',\n",
    "    'solar_generation_actual': 'solar',\n",
    "    'wind_generation_actual': 'wind',\n",
    "    'wind_onshore_generation_actual': 'wind_onshore',\n",
    "    'wind_offshore_generation_actual': 'wind_offshore'\n",
    "}\n",
    "\n",
    "# List to store metrics for the DataFrame\n",
    "data = []\n",
    "\n",
    "# Loop over each prediction length\n",
    "for pred_len in [24, 96, 168]:\n",
    "    \n",
    "    # Combine the last `pred_len` hours of validation data with test data\n",
    "    forecast_df = pd.concat([vali.iloc[-pred_len:], test], axis=0)\n",
    "\n",
    "    # Shift the DataFrame by `pred_len` hours to create the persistence forecast\n",
    "    forecast_df = forecast_df.shift(freq=f'{pred_len}H')\n",
    "\n",
    "    # Cut off the last hours, because they are longer by 'window_len' than the test data\n",
    "    forecast_df = forecast_df.iloc[:-pred_len]\n",
    "\n",
    "    # Loop over each country\n",
    "    for country in ['DE', 'GB', 'ES', 'FR', 'IT']:\n",
    "\n",
    "        # Choose columns that belong to the current country\n",
    "        country_columns = [col for col in test.columns if col.startswith(country)]\n",
    "\n",
    "        # Loop over each column in the current country\n",
    "        for col in country_columns:\n",
    "\n",
    "            # Rename the column based on the country\n",
    "            if country == 'GB':\n",
    "                new_col = rename_col_dict.get(col.split('_', 2)[-1], col)\n",
    "            else:\n",
    "                new_col = rename_col_dict.get(col.split('_', 1)[-1], col)\n",
    "\n",
    "            # Calculate metrics\n",
    "            mae = mean_absolute_error(test[col], forecast_df[col])\n",
    "            mse = mean_squared_error(test[col], forecast_df[col])\n",
    "            rmse = np.sqrt(mse)\n",
    "\n",
    "            # Append metrics to the list\n",
    "            data.append({\n",
    "                'Country': country,\n",
    "                'Pred_len': pred_len,\n",
    "                'Column': new_col,\n",
    "                'MSE': mse,\n",
    "                'RMSE': rmse,\n",
    "                'MAE': mae\n",
    "            })\n",
    "\n",
    "# Convert the list of dictionaries into a DataFrame\n",
    "df_persistence = pd.DataFrame(data)\n",
    "\n",
    "# Set MultiIndex\n",
    "df_persistence.set_index(['Country', 'Pred_len', 'Column'], inplace=True)\n",
    "\n",
    "df_persistence = df_persistence.sort_index().round(4)\n",
    "df_persistence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Model</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Persistence</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Metrics</th>\n",
       "      <th>MSE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th>Pred_len</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">DE</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0467</td>\n",
       "      <td>0.1961</td>\n",
       "      <td>0.1387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0781</td>\n",
       "      <td>0.2614</td>\n",
       "      <td>0.1969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0688</td>\n",
       "      <td>0.2339</td>\n",
       "      <td>0.1701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">ES</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0207</td>\n",
       "      <td>0.1406</td>\n",
       "      <td>0.0943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0399</td>\n",
       "      <td>0.1967</td>\n",
       "      <td>0.1392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0380</td>\n",
       "      <td>0.1774</td>\n",
       "      <td>0.1238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">FR</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0199</td>\n",
       "      <td>0.1224</td>\n",
       "      <td>0.0800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0399</td>\n",
       "      <td>0.1782</td>\n",
       "      <td>0.1250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0351</td>\n",
       "      <td>0.1629</td>\n",
       "      <td>0.1081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">GB</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0520</td>\n",
       "      <td>0.1989</td>\n",
       "      <td>0.1445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0847</td>\n",
       "      <td>0.2554</td>\n",
       "      <td>0.1942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0803</td>\n",
       "      <td>0.2469</td>\n",
       "      <td>0.1856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">IT</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0247</td>\n",
       "      <td>0.1440</td>\n",
       "      <td>0.0966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0449</td>\n",
       "      <td>0.1971</td>\n",
       "      <td>0.1410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0332</td>\n",
       "      <td>0.1569</td>\n",
       "      <td>0.1092</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Model            Persistence                \n",
       "Metrics                  MSE    RMSE     MAE\n",
       "Country Pred_len                            \n",
       "DE      24            0.0467  0.1961  0.1387\n",
       "        96            0.0781  0.2614  0.1969\n",
       "        168           0.0688  0.2339  0.1701\n",
       "ES      24            0.0207  0.1406  0.0943\n",
       "        96            0.0399  0.1967  0.1392\n",
       "        168           0.0380  0.1774  0.1238\n",
       "FR      24            0.0199  0.1224  0.0800\n",
       "        96            0.0399  0.1782  0.1250\n",
       "        168           0.0351  0.1629  0.1081\n",
       "GB      24            0.0520  0.1989  0.1445\n",
       "        96            0.0847  0.2554  0.1942\n",
       "        168           0.0803  0.2469  0.1856\n",
       "IT      24            0.0247  0.1440  0.0966\n",
       "        96            0.0449  0.1971  0.1410\n",
       "        168           0.0332  0.1569  0.1092"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group by country and window length\n",
    "df_persistence_country = df_persistence.groupby(['Country', 'Pred_len']).mean()\n",
    "df_persistence_country.columns = pd.MultiIndex.from_product([['Persistence'], ['MSE','RMSE', 'MAE']], names=['Model', 'Metrics'])\n",
    "df_persistence_country.round(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a folder named \"results\" if it doesn't exist\n",
    "folder_name = \"results\"\n",
    "if not os.path.exists(folder_name):\n",
    "    os.makedirs(folder_name)\n",
    "\n",
    "subfolder_name = os.path.join(folder_name, \"naive\")\n",
    "if not os.path.exists(subfolder_name):\n",
    "    os.makedirs(subfolder_name)\n",
    "\n",
    "# Store dataframes\n",
    "df_persistence.to_csv('results/naive/metrics_persistence_columns_minmax.csv')\n",
    "df_persistence_country.to_csv('results/naive/metrics_persistence_countries_minmax.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29136 observations in the train dataset.\n",
      "6240 observations in the validation dataset. \n",
      "6240 observations in the test dataset.\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('datasets/GB_data_new.csv', index_col=0, parse_dates=True)\n",
    "\n",
    "train_gb, vali_gb, test_gb = split_scale_dataset(df, train_split=0.7, test_split=0.15, scaler_type='minmax')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>MSE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th>Pred_len</th>\n",
       "      <th>Column</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"15\" valign=\"top\">GB</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0044</td>\n",
       "      <td>0.0660</td>\n",
       "      <td>0.0451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0101</td>\n",
       "      <td>0.1003</td>\n",
       "      <td>0.0503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0686</td>\n",
       "      <td>0.2620</td>\n",
       "      <td>0.1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.1344</td>\n",
       "      <td>0.3667</td>\n",
       "      <td>0.2757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0440</td>\n",
       "      <td>0.2097</td>\n",
       "      <td>0.1594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0080</td>\n",
       "      <td>0.0892</td>\n",
       "      <td>0.0665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0173</td>\n",
       "      <td>0.1316</td>\n",
       "      <td>0.0671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.1161</td>\n",
       "      <td>0.3407</td>\n",
       "      <td>0.2723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.2118</td>\n",
       "      <td>0.4603</td>\n",
       "      <td>0.3623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0724</td>\n",
       "      <td>0.2690</td>\n",
       "      <td>0.2130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0042</td>\n",
       "      <td>0.0650</td>\n",
       "      <td>0.0470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0201</td>\n",
       "      <td>0.1419</td>\n",
       "      <td>0.0741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.1075</td>\n",
       "      <td>0.3279</td>\n",
       "      <td>0.2596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.2053</td>\n",
       "      <td>0.4532</td>\n",
       "      <td>0.3543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0657</td>\n",
       "      <td>0.2564</td>\n",
       "      <td>0.2001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   MSE    RMSE     MAE\n",
       "Country Pred_len Column                               \n",
       "GB      24       load           0.0044  0.0660  0.0451\n",
       "                 solar          0.0101  0.1003  0.0503\n",
       "                 wind           0.0686  0.2620  0.1990\n",
       "                 wind_offshore  0.1344  0.3667  0.2757\n",
       "                 wind_onshore   0.0440  0.2097  0.1594\n",
       "        96       load           0.0080  0.0892  0.0665\n",
       "                 solar          0.0173  0.1316  0.0671\n",
       "                 wind           0.1161  0.3407  0.2723\n",
       "                 wind_offshore  0.2118  0.4603  0.3623\n",
       "                 wind_onshore   0.0724  0.2690  0.2130\n",
       "        168      load           0.0042  0.0650  0.0470\n",
       "                 solar          0.0201  0.1419  0.0741\n",
       "                 wind           0.1075  0.3279  0.2596\n",
       "                 wind_offshore  0.2053  0.4532  0.3543\n",
       "                 wind_onshore   0.0657  0.2564  0.2001"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dictionary to rename columns\n",
    "rename_col_dict = {\n",
    "    'load_actual_entsoe_transparency': 'load',\n",
    "    'solar_generation_actual': 'solar',\n",
    "    'wind_generation_actual': 'wind',\n",
    "    'wind_onshore_generation_actual': 'wind_onshore',\n",
    "    'wind_offshore_generation_actual': 'wind_offshore'\n",
    "}\n",
    "\n",
    "# List to store metrics for the DataFrame\n",
    "data = []\n",
    "\n",
    "# Loop over each prediction length\n",
    "for pred_len in [24, 96, 168]:\n",
    "    \n",
    "    # Combine the last `pred_len` hours of validation data with test data\n",
    "    forecast_df = pd.concat([vali_gb.iloc[-pred_len:], test_gb], axis=0)\n",
    "\n",
    "    # Shift the DataFrame by `pred_len` hours to create the persistence forecast\n",
    "    forecast_df = forecast_df.shift(freq=f'{pred_len}H')\n",
    "\n",
    "    # Cut off the last hours, because they are longer by 'window_len' than the test data\n",
    "    forecast_df = forecast_df.iloc[:-pred_len]\n",
    "\n",
    "    # Loop over each country\n",
    "    for country in ['GB']:\n",
    "\n",
    "        # Choose columns that belong to the current country\n",
    "        country_columns = [col for col in test_gb.columns if col.startswith(country)]\n",
    "\n",
    "        # Loop over each column in the current country\n",
    "        for col in country_columns:\n",
    "\n",
    "            # Rename the column based on the country\n",
    "            if country == 'GB':\n",
    "                new_col = rename_col_dict.get(col.split('_', 2)[-1], col)\n",
    "            else:\n",
    "                new_col = rename_col_dict.get(col.split('_', 1)[-1], col)\n",
    "\n",
    "            # Calculate metrics\n",
    "            mae = mean_absolute_error(test_gb[col], forecast_df[col])\n",
    "            mse = mean_squared_error(test_gb[col], forecast_df[col])\n",
    "            rmse = np.sqrt(mse)\n",
    "\n",
    "            # Append metrics to the list\n",
    "            data.append({\n",
    "                'Country': country,\n",
    "                'Pred_len': pred_len,\n",
    "                'Column': new_col,\n",
    "                'MSE': mse,\n",
    "                'RMSE': rmse,\n",
    "                'MAE': mae\n",
    "            })\n",
    "\n",
    "# Convert the list of dictionaries into a DataFrame\n",
    "df_persistence = pd.DataFrame(data)\n",
    "\n",
    "# Set MultiIndex\n",
    "df_persistence.set_index(['Country', 'Pred_len', 'Column'], inplace=True)\n",
    "\n",
    "df_persistence = df_persistence.sort_index().round(4)\n",
    "df_persistence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Model</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Persistence</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Metrics</th>\n",
       "      <th>MSE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th>Pred_len</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">GB</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0523</td>\n",
       "      <td>0.2009</td>\n",
       "      <td>0.1459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0851</td>\n",
       "      <td>0.2582</td>\n",
       "      <td>0.1962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0806</td>\n",
       "      <td>0.2489</td>\n",
       "      <td>0.1870</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Model            Persistence                \n",
       "Metrics                  MSE    RMSE     MAE\n",
       "Country Pred_len                            \n",
       "GB      24            0.0523  0.2009  0.1459\n",
       "        96            0.0851  0.2582  0.1962\n",
       "        168           0.0806  0.2489  0.1870"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group by country and window length\n",
    "df_persistence_country = df_persistence.groupby(['Country', 'Pred_len']).mean()\n",
    "df_persistence_country.columns = pd.MultiIndex.from_product([['Persistence'], ['MSE','RMSE', 'MAE']], names=['Model', 'Metrics'])\n",
    "df_persistence_country.round(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. (S)ARIMA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. AutoArima from pmdarima package finds optimal parameters for ARIMA model automatically.\n",
    "\n",
    "2. However, according description, it is better to set seasonal parameter that we determined from the data(m is for seasonality).\n",
    "\n",
    "I performed small tests on load and solar columns with m=24 and without. Without m I got bad results, with m=24 - good results. As we saw, we have seasonality in these columns (based on the visual inspection in the 1.Data_analysis notebook as well.)  \n",
    "\n",
    "Wind generation does not react on m parameter and therefore gives the worst performance among all columns. Since it has no short-term seasonality, it is harder to predict these values on hourly data. Of course, wind is supposed to be stronger during coldest periods of the year. But then we have to put to our model factor * 8760 observations. (24 hours * 365 days)\n",
    "\n",
    "3. Additionally to that I performed ARIMA (or SARIMA) to find optimal input length for training the model.\n",
    "Longer inputs in general deliver better results. \n",
    "\n",
    "4. Putting exogenous variables like 'HourOfDay' and 'DayOfWeek' detariorates performance. Therefore we use exclusively one time serie as the input."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://alkaline-ml.com/pmdarima/tips_and_tricks.html\n",
    "# maxiter set btw 10-20, default=50 -> good trade off btw speed and robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a folder named \"results\" if it doesn't exist\n",
    "folder_name = \"results\"\n",
    "if not os.path.exists(folder_name):\n",
    "    os.makedirs(folder_name)\n",
    "\n",
    "subfolder_name = os.path.join(folder_name, \"arima\")\n",
    "if not os.path.exists(subfolder_name):\n",
    "    os.makedirs(subfolder_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The problem is that training time of ARIMA model with parameter selection is long, especially for seasonal ARIMA. \n",
    "Unfortuntely, auto_arima has no GPU support.\n",
    "We have 19 columns and for each we can train 37 models with pred_len=168. Because, we can train one model for all prediction lengths and shift the data segment by 168 (max prediction length)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int(test.__len__()/168)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We performed ARIMA without exogenous variables on 37 segments. So, 37 models for each of 19 columns. Only for load and solar columns seasonal ARIMA was performed. The total time for 19x37=703 models is up to 12 hours. Training each model for each pred_len separately is much more time-intensive, therefore we took this approach."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing column: 'DE_load_actual_entsoe_transparency'\n",
      "Best ARIMA parameters: (2, 1, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.20\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 1\n",
      "Time for 1 models: 00h:01m:31.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.32, RMSE: 0.57, MAE: 0.45\n",
      "Prediction length: 168, MSE: 1.78, RMSE: 1.34, MAE: 1.08\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 2\n",
      "Time for 2 models: 00h:01m:45.39s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 3\n",
      "Time for 3 models: 00h:00m:47.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.10\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 4\n",
      "Time for 4 models: 00h:01m:24.77s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 5\n",
      "Time for 5 models: 00h:01m:05.12s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.32, MAE: 0.27\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 6\n",
      "Time for 6 models: 00h:01m:16.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 7\n",
      "Time for 7 models: 00h:03m:15.08s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 8\n",
      "Time for 8 models: 00h:01m:46.66s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 9\n",
      "Time for 9 models: 00h:01m:07.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 10\n",
      "Time for 10 models: 00h:00m:34.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 11\n",
      "Time for 11 models: 00h:03m:08.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 12\n",
      "Time for 12 models: 00h:02m:45.30s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 1, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 13\n",
      "Time for 13 models: 00h:03m:46.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 14\n",
      "Time for 14 models: 00h:03m:59.77s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 15\n",
      "Time for 15 models: 00h:03m:53.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 16\n",
      "Time for 16 models: 00h:02m:53.19s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 17\n",
      "Time for 17 models: 00h:01m:10.05s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 18\n",
      "Time for 18 models: 00h:01m:05.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 19\n",
      "Time for 19 models: 00h:01m:02.71s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 20\n",
      "Time for 20 models: 00h:01m:14.73s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.07, RMSE: 0.26, MAE: 0.23\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.25, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 21\n",
      "Time for 21 models: 00h:00m:35.44s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 22\n",
      "Time for 22 models: 00h:01m:12.14s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 23\n",
      "Time for 23 models: 00h:01m:03.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 24\n",
      "Time for 24 models: 00h:00m:58.80s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.19, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 25\n",
      "Time for 25 models: 00h:00m:59.27s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 26\n",
      "Time for 26 models: 00h:01m:05.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.28\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 27\n",
      "Time for 27 models: 00h:01m:37.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 28\n",
      "Time for 28 models: 00h:00m:46.05s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 29\n",
      "Time for 29 models: 00h:01m:27.08s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 30\n",
      "Time for 30 models: 00h:00m:48.84s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 31\n",
      "Time for 31 models: 00h:01m:03.82s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 32\n",
      "Time for 32 models: 00h:00m:49.88s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.16\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 33\n",
      "Time for 33 models: 00h:00m:49.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 34\n",
      "Time for 34 models: 00h:00m:29.80s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 35\n",
      "Time for 35 models: 00h:01m:06.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 36\n",
      "Time for 36 models: 00h:02m:58.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 4) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Completed forecasts for column: 'DE_load_actual_entsoe_transparency', n_model: 37\n",
      "Time for 37 models: 00h:02m:54.27s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'DE_solar_generation_actual'\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 1\n",
      "Time for 38 models: 00h:00m:55.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 2\n",
      "Time for 39 models: 00h:00m:32.85s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 3\n",
      "Time for 40 models: 00h:01m:41.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 4\n",
      "Time for 41 models: 00h:01m:21.60s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 5\n",
      "Time for 42 models: 00h:00m:55.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 6\n",
      "Time for 43 models: 00h:01m:39.66s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.05\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 7\n",
      "Time for 44 models: 00h:01m:52.47s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 8\n",
      "Time for 45 models: 00h:00m:43.77s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 9\n",
      "Time for 46 models: 00h:00m:45.10s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 10\n",
      "Time for 47 models: 00h:01m:28.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 11\n",
      "Time for 48 models: 00h:02m:41.77s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.11\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 12\n",
      "Time for 49 models: 00h:01m:16.65s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.03\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 13\n",
      "Time for 50 models: 00h:00m:57.07s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 14\n",
      "Time for 51 models: 00h:00m:47.81s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 15\n",
      "Time for 52 models: 00h:00m:59.73s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.25, MAE: 0.22\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 16\n",
      "Time for 53 models: 00h:01m:03.09s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.11\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 17\n",
      "Time for 54 models: 00h:02m:03.91s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.25, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.31, MAE: 0.27\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 18\n",
      "Time for 55 models: 00h:01m:04.04s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.09\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 19\n",
      "Time for 56 models: 00h:01m:44.96s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 20\n",
      "Time for 57 models: 00h:01m:19.99s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.08\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 21\n",
      "Time for 58 models: 00h:01m:19.36s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.23, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.20\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 22\n",
      "Time for 59 models: 00h:01m:36.76s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.10\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 23\n",
      "Time for 60 models: 00h:01m:20.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.25, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.27\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.32, MAE: 0.26\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 24\n",
      "Time for 61 models: 00h:01m:30.12s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.21\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.23\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 25\n",
      "Time for 62 models: 00h:01m:22.44s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.06\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 26\n",
      "Time for 63 models: 00h:02m:24.52s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.21, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.23\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 27\n",
      "Time for 64 models: 00h:00m:46.76s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 28\n",
      "Time for 65 models: 00h:01m:28.50s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 29\n",
      "Time for 66 models: 00h:02m:11.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.13\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 30\n",
      "Time for 67 models: 00h:02m:54.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 31\n",
      "Time for 68 models: 00h:01m:22.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 32\n",
      "Time for 69 models: 00h:02m:59.03s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 33\n",
      "Time for 70 models: 00h:00m:55.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 34\n",
      "Time for 71 models: 00h:03m:29.21s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 35\n",
      "Time for 72 models: 00h:01m:45.61s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 36\n",
      "Time for 73 models: 00h:02m:35.99s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_solar_generation_actual', n_model: 37\n",
      "Time for 74 models: 00h:02m:40.47s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'DE_wind_generation_actual'\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.17, RMSE: 0.41, MAE: 0.34\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 1\n",
      "Time for 75 models: 00h:00m:00.95s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 2\n",
      "Time for 76 models: 00h:00m:00.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 3\n",
      "Time for 77 models: 00h:00m:00.92s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.31, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.25\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 4\n",
      "Time for 78 models: 00h:00m:01.73s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.17, RMSE: 0.42, MAE: 0.30\n",
      "Prediction length: 168, MSE: 0.13, RMSE: 0.35, MAE: 0.26\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 5\n",
      "Time for 79 models: 00h:00m:01.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.11\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 6\n",
      "Time for 80 models: 00h:00m:01.42s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.22, MAE: 0.18\n",
      "Prediction length: 96, MSE: 0.24, RMSE: 0.49, MAE: 0.44\n",
      "Prediction length: 168, MSE: 0.23, RMSE: 0.48, MAE: 0.42\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 7\n",
      "Time for 81 models: 00h:00m:00.71s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 8\n",
      "Time for 82 models: 00h:00m:01.22s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.08, RMSE: 0.28, MAE: 0.26\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.25, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.29, MAE: 0.25\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 9\n",
      "Time for 83 models: 00h:00m:01.64s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.20, MAE: 0.18\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.34, MAE: 0.28\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 10\n",
      "Time for 84 models: 00h:00m:01.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.16\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 11\n",
      "Time for 85 models: 00h:00m:01.29s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 12\n",
      "Time for 86 models: 00h:00m:01.09s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 13\n",
      "Time for 87 models: 00h:00m:00.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.23, MAE: 0.22\n",
      "Prediction length: 96, MSE: 0.12, RMSE: 0.34, MAE: 0.32\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.27\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 14\n",
      "Time for 88 models: 00h:00m:01.30s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.18, RMSE: 0.42, MAE: 0.35\n",
      "Prediction length: 168, MSE: 0.29, RMSE: 0.54, MAE: 0.48\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 15\n",
      "Time for 89 models: 00h:00m:01.27s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.10\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 16\n",
      "Time for 90 models: 00h:00m:03.03s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 4) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.16\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 17\n",
      "Time for 91 models: 00h:00m:02.47s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 18\n",
      "Time for 92 models: 00h:00m:02.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.16\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 19\n",
      "Time for 93 models: 00h:00m:01.78s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 20\n",
      "Time for 94 models: 00h:00m:01.35s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 5) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 21\n",
      "Time for 95 models: 00h:00m:02.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 22\n",
      "Time for 96 models: 00h:00m:01.33s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 23\n",
      "Time for 97 models: 00h:00m:01.37s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 24\n",
      "Time for 98 models: 00h:00m:01.61s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.21, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 25\n",
      "Time for 99 models: 00h:00m:01.42s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.23, MAE: 0.22\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.31, MAE: 0.29\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.33\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 26\n",
      "Time for 100 models: 00h:00m:01.05s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 27\n",
      "Time for 101 models: 00h:00m:01.20s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 28\n",
      "Time for 102 models: 00h:00m:01.40s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.27\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 29\n",
      "Time for 103 models: 00h:00m:01.32s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 30\n",
      "Time for 104 models: 00h:00m:01.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 31\n",
      "Time for 105 models: 00h:00m:01.80s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.17\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 32\n",
      "Time for 106 models: 00h:00m:01.33s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.21, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.16, RMSE: 0.40, MAE: 0.30\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.20\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 33\n",
      "Time for 107 models: 00h:00m:01.57s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 34\n",
      "Time for 108 models: 00h:00m:01.03s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 35\n",
      "Time for 109 models: 00h:00m:01.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 36\n",
      "Time for 110 models: 00h:00m:01.24s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.18\n",
      "Completed forecasts for column: 'DE_wind_generation_actual', n_model: 37\n",
      "Time for 111 models: 00h:00m:00.91s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'DE_wind_offshore_generation_actual'\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.25, MAE: 0.18\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 1\n",
      "Time for 112 models: 00h:00m:00.84s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.28\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.23\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 2\n",
      "Time for 113 models: 00h:00m:00.88s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.07, RMSE: 0.26, MAE: 0.24\n",
      "Prediction length: 96, MSE: 0.14, RMSE: 0.37, MAE: 0.35\n",
      "Prediction length: 168, MSE: 0.13, RMSE: 0.37, MAE: 0.34\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 3\n",
      "Time for 114 models: 00h:00m:00.93s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.27, RMSE: 0.52, MAE: 0.43\n",
      "Prediction length: 168, MSE: 0.18, RMSE: 0.43, MAE: 0.33\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 4\n",
      "Time for 115 models: 00h:00m:01.68s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.22, RMSE: 0.47, MAE: 0.36\n",
      "Prediction length: 168, MSE: 0.16, RMSE: 0.40, MAE: 0.29\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 5\n",
      "Time for 116 models: 00h:00m:00.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.25, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.21\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 6\n",
      "Time for 117 models: 00h:00m:01.12s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.09, RMSE: 0.29, MAE: 0.25\n",
      "Prediction length: 96, MSE: 0.30, RMSE: 0.55, MAE: 0.47\n",
      "Prediction length: 168, MSE: 0.29, RMSE: 0.54, MAE: 0.45\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 7\n",
      "Time for 118 models: 00h:00m:00.53s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.18, RMSE: 0.42, MAE: 0.30\n",
      "Prediction length: 168, MSE: 0.27, RMSE: 0.52, MAE: 0.40\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 8\n",
      "Time for 119 models: 00h:00m:00.53s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.20, RMSE: 0.44, MAE: 0.32\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 9\n",
      "Time for 120 models: 00h:00m:00.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.28, RMSE: 0.53, MAE: 0.51\n",
      "Prediction length: 96, MSE: 0.14, RMSE: 0.38, MAE: 0.33\n",
      "Prediction length: 168, MSE: 0.21, RMSE: 0.46, MAE: 0.41\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 10\n",
      "Time for 121 models: 00h:00m:00.67s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.31, MAE: 0.27\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.23\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 11\n",
      "Time for 122 models: 00h:00m:00.74s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.13, RMSE: 0.35, MAE: 0.32\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.31, MAE: 0.25\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.29, MAE: 0.24\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 12\n",
      "Time for 123 models: 00h:00m:00.71s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.08, RMSE: 0.29, MAE: 0.25\n",
      "Prediction length: 96, MSE: 0.22, RMSE: 0.46, MAE: 0.43\n",
      "Prediction length: 168, MSE: 0.19, RMSE: 0.44, MAE: 0.40\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 13\n",
      "Time for 124 models: 00h:00m:00.73s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.12, RMSE: 0.35, MAE: 0.31\n",
      "Prediction length: 96, MSE: 0.34, RMSE: 0.59, MAE: 0.52\n",
      "Prediction length: 168, MSE: 0.28, RMSE: 0.53, MAE: 0.47\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 14\n",
      "Time for 125 models: 00h:00m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.25, MAE: 0.20\n",
      "Prediction length: 96, MSE: 0.24, RMSE: 0.49, MAE: 0.39\n",
      "Prediction length: 168, MSE: 0.40, RMSE: 0.63, MAE: 0.55\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 15\n",
      "Time for 126 models: 00h:00m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.13, RMSE: 0.36, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.18\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 16\n",
      "Time for 127 models: 00h:00m:00.68s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.18, RMSE: 0.43, MAE: 0.39\n",
      "Prediction length: 96, MSE: 0.23, RMSE: 0.48, MAE: 0.46\n",
      "Prediction length: 168, MSE: 0.23, RMSE: 0.48, MAE: 0.44\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 17\n",
      "Time for 128 models: 00h:00m:00.83s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.08, RMSE: 0.28, MAE: 0.24\n",
      "Prediction length: 96, MSE: 0.14, RMSE: 0.38, MAE: 0.34\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.32, MAE: 0.27\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 18\n",
      "Time for 129 models: 00h:00m:00.75s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.09, RMSE: 0.30, MAE: 0.26\n",
      "Prediction length: 96, MSE: 0.15, RMSE: 0.38, MAE: 0.34\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.31\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 19\n",
      "Time for 130 models: 00h:00m:01.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.19, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.20\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 20\n",
      "Time for 131 models: 00h:00m:00.91s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.20, MAE: 0.20\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.28, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.32, MAE: 0.28\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 21\n",
      "Time for 132 models: 00h:00m:01.13s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.24, RMSE: 0.49, MAE: 0.37\n",
      "Prediction length: 168, MSE: 0.23, RMSE: 0.48, MAE: 0.39\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 22\n",
      "Time for 133 models: 00h:00m:00.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.24\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 23\n",
      "Time for 134 models: 00h:00m:01.28s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.23\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 24\n",
      "Time for 135 models: 00h:00m:01.24s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 5) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.12, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.30, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.33, MAE: 0.29\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 25\n",
      "Time for 136 models: 00h:00m:02.71s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.16, RMSE: 0.39, MAE: 0.38\n",
      "Prediction length: 96, MSE: 0.54, RMSE: 0.74, MAE: 0.69\n",
      "Prediction length: 168, MSE: 0.57, RMSE: 0.75, MAE: 0.72\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 26\n",
      "Time for 137 models: 00h:00m:01.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 27\n",
      "Time for 138 models: 00h:00m:00.61s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.29, MAE: 0.23\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 28\n",
      "Time for 139 models: 00h:00m:01.04s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.15, RMSE: 0.39, MAE: 0.32\n",
      "Prediction length: 168, MSE: 0.23, RMSE: 0.47, MAE: 0.40\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 29\n",
      "Time for 140 models: 00h:00m:00.97s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.16, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.13, RMSE: 0.35, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.32, MAE: 0.22\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 30\n",
      "Time for 141 models: 00h:00m:00.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.25, MAE: 0.21\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.30\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 31\n",
      "Time for 142 models: 00h:00m:01.89s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.17, RMSE: 0.41, MAE: 0.30\n",
      "Prediction length: 168, MSE: 0.25, RMSE: 0.50, MAE: 0.39\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 32\n",
      "Time for 143 models: 00h:00m:00.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.30, RMSE: 0.54, MAE: 0.44\n",
      "Prediction length: 96, MSE: 0.25, RMSE: 0.50, MAE: 0.44\n",
      "Prediction length: 168, MSE: 0.17, RMSE: 0.42, MAE: 0.35\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 33\n",
      "Time for 144 models: 00h:00m:01.60s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.17, RMSE: 0.42, MAE: 0.32\n",
      "Prediction length: 168, MSE: 0.22, RMSE: 0.47, MAE: 0.38\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 34\n",
      "Time for 145 models: 00h:00m:00.84s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.29, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.31, MAE: 0.27\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 35\n",
      "Time for 146 models: 00h:00m:00.76s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.13, RMSE: 0.36, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.20\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 36\n",
      "Time for 147 models: 00h:00m:00.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.32, RMSE: 0.57, MAE: 0.45\n",
      "Prediction length: 168, MSE: 0.30, RMSE: 0.55, MAE: 0.42\n",
      "Completed forecasts for column: 'DE_wind_offshore_generation_actual', n_model: 37\n",
      "Time for 148 models: 00h:00m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'DE_wind_onshore_generation_actual'\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.16, RMSE: 0.39, MAE: 0.33\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 1\n",
      "Time for 149 models: 00h:00m:01.20s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 2\n",
      "Time for 150 models: 00h:00m:01.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 3\n",
      "Time for 151 models: 00h:00m:01.29s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.24\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 4\n",
      "Time for 152 models: 00h:00m:01.46s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.19, RMSE: 0.43, MAE: 0.32\n",
      "Prediction length: 168, MSE: 0.14, RMSE: 0.38, MAE: 0.28\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 5\n",
      "Time for 153 models: 00h:00m:01.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 6\n",
      "Time for 154 models: 00h:00m:01.50s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.15, RMSE: 0.39, MAE: 0.34\n",
      "Prediction length: 168, MSE: 0.14, RMSE: 0.38, MAE: 0.31\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 7\n",
      "Time for 155 models: 00h:00m:01.88s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 8\n",
      "Time for 156 models: 00h:00m:01.24s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.09, RMSE: 0.30, MAE: 0.27\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.29, MAE: 0.25\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 9\n",
      "Time for 157 models: 00h:00m:01.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.33, MAE: 0.28\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 10\n",
      "Time for 158 models: 00h:00m:01.36s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 4) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.19, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.16\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 11\n",
      "Time for 159 models: 00h:00m:02.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.12\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 12\n",
      "Time for 160 models: 00h:00m:01.09s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 13\n",
      "Time for 161 models: 00h:00m:01.21s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.20, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.29, MAE: 0.28\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.23\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 14\n",
      "Time for 162 models: 00h:00m:01.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.16, RMSE: 0.41, MAE: 0.34\n",
      "Prediction length: 168, MSE: 0.26, RMSE: 0.51, MAE: 0.46\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 15\n",
      "Time for 163 models: 00h:00m:02.46s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 16\n",
      "Time for 164 models: 00h:00m:02.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 4) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 17\n",
      "Time for 165 models: 00h:00m:02.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.13\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 18\n",
      "Time for 166 models: 00h:00m:01.32s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 19\n",
      "Time for 167 models: 00h:00m:01.22s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 20\n",
      "Time for 168 models: 00h:00m:00.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 21\n",
      "Time for 169 models: 00h:00m:01.46s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 22\n",
      "Time for 170 models: 00h:00m:01.36s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 23\n",
      "Time for 171 models: 00h:00m:01.43s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 24\n",
      "Time for 172 models: 00h:00m:01.49s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 25\n",
      "Time for 173 models: 00h:00m:01.29s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.20, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.25, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.29, MAE: 0.27\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 26\n",
      "Time for 174 models: 00h:00m:00.97s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 27\n",
      "Time for 175 models: 00h:00m:01.22s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 28\n",
      "Time for 176 models: 00h:00m:00.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.29, MAE: 0.26\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 29\n",
      "Time for 177 models: 00h:00m:01.09s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 30\n",
      "Time for 178 models: 00h:00m:01.28s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.13\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 31\n",
      "Time for 179 models: 00h:00m:01.68s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 32\n",
      "Time for 180 models: 00h:00m:01.30s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.15, RMSE: 0.38, MAE: 0.27\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.29, MAE: 0.19\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 33\n",
      "Time for 181 models: 00h:00m:01.35s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.08\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 34\n",
      "Time for 182 models: 00h:00m:01.71s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.21, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.19\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 35\n",
      "Time for 183 models: 00h:00m:01.31s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 36\n",
      "Time for 184 models: 00h:00m:01.07s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.14\n",
      "Completed forecasts for column: 'DE_wind_onshore_generation_actual', n_model: 37\n",
      "Time for 185 models: 00h:00m:01.37s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'GB_UKM_load_actual_entsoe_transparency'\n",
      "Best ARIMA parameters: (1, 0, 0) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.13\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 1\n",
      "Time for 186 models: 00h:01m:30.83s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.13\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 2\n",
      "Time for 187 models: 00h:00m:45.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.11\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 3\n",
      "Time for 188 models: 00h:00m:43.11s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 4\n",
      "Time for 189 models: 00h:00m:39.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 5\n",
      "Time for 190 models: 00h:00m:41.05s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 6\n",
      "Time for 191 models: 00h:02m:13.97s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 7\n",
      "Time for 192 models: 00h:02m:03.69s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 8\n",
      "Time for 193 models: 00h:01m:53.00s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 9\n",
      "Time for 194 models: 00h:01m:42.03s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 10\n",
      "Time for 195 models: 00h:01m:26.85s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 11\n",
      "Time for 196 models: 00h:01m:37.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 3) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.05\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 12\n",
      "Time for 197 models: 00h:02m:36.37s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 13\n",
      "Time for 198 models: 00h:03m:02.38s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.25, MAE: 0.21\n",
      "Prediction length: 168, MSE: 0.32, RMSE: 0.56, MAE: 0.46\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 14\n",
      "Time for 199 models: 00h:01m:14.95s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 15\n",
      "Time for 200 models: 00h:02m:00.27s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 16\n",
      "Time for 201 models: 00h:01m:26.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.05\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 17\n",
      "Time for 202 models: 00h:00m:13.70s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 18\n",
      "Time for 203 models: 00h:01m:13.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 19\n",
      "Time for 204 models: 00h:01m:42.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 20\n",
      "Time for 205 models: 00h:01m:50.83s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 21\n",
      "Time for 206 models: 00h:00m:49.81s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 22\n",
      "Time for 207 models: 00h:00m:58.70s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 23\n",
      "Time for 208 models: 00h:01m:02.50s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 24\n",
      "Time for 209 models: 00h:00m:47.36s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 4) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 25\n",
      "Time for 210 models: 00h:02m:59.46s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 3) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.18\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 26\n",
      "Time for 211 models: 00h:01m:41.19s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 27\n",
      "Time for 212 models: 00h:00m:47.43s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 28\n",
      "Time for 213 models: 00h:01m:59.78s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 29\n",
      "Time for 214 models: 00h:00m:13.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 30\n",
      "Time for 215 models: 00h:00m:42.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 31\n",
      "Time for 216 models: 00h:02m:24.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 32\n",
      "Time for 217 models: 00h:02m:11.66s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 33\n",
      "Time for 218 models: 00h:01m:02.10s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 34\n",
      "Time for 219 models: 00h:01m:13.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 35\n",
      "Time for 220 models: 00h:01m:00.70s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 36\n",
      "Time for 221 models: 00h:00m:59.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_load_actual_entsoe_transparency', n_model: 37\n",
      "Time for 222 models: 00h:01m:00.00s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'GB_UKM_solar_generation_actual'\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.05\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 1\n",
      "Time for 223 models: 00h:01m:30.12s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 2\n",
      "Time for 224 models: 00h:01m:07.39s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.04\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 3\n",
      "Time for 225 models: 00h:01m:06.78s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.04\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 4\n",
      "Time for 226 models: 00h:04m:06.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 5\n",
      "Time for 227 models: 00h:01m:21.28s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.02\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 6\n",
      "Time for 228 models: 00h:02m:47.52s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 7\n",
      "Time for 229 models: 00h:01m:10.28s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 8\n",
      "Time for 230 models: 00h:01m:07.19s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 9\n",
      "Time for 231 models: 00h:01m:06.23s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.11\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 10\n",
      "Time for 232 models: 00h:00m:43.79s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 11\n",
      "Time for 233 models: 00h:01m:19.63s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.06\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 12\n",
      "Time for 234 models: 00h:02m:21.73s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.07, RMSE: 0.26, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.30, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.24\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 13\n",
      "Time for 235 models: 00h:00m:47.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 14\n",
      "Time for 236 models: 00h:00m:51.09s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 15\n",
      "Time for 237 models: 00h:02m:44.40s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.08, RMSE: 0.28, MAE: 0.18\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.16, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 16\n",
      "Time for 238 models: 00h:02m:44.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 17\n",
      "Time for 239 models: 00h:01m:20.40s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 4) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 18\n",
      "Time for 240 models: 00h:03m:07.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 19\n",
      "Time for 241 models: 00h:03m:12.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.32, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.29\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 20\n",
      "Time for 242 models: 00h:01m:22.10s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.21, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 21\n",
      "Time for 243 models: 00h:01m:41.28s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 22\n",
      "Time for 244 models: 00h:01m:38.28s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 23\n",
      "Time for 245 models: 00h:01m:53.31s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.23, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.31, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.23\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 24\n",
      "Time for 246 models: 00h:01m:22.76s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 4) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.18\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 25\n",
      "Time for 247 models: 00h:01m:12.78s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 26\n",
      "Time for 248 models: 00h:03m:34.97s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 4) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.19\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 27\n",
      "Time for 249 models: 00h:02m:03.83s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 28\n",
      "Time for 250 models: 00h:02m:08.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.21, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.29, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.23\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 29\n",
      "Time for 251 models: 00h:00m:29.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.19, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 30\n",
      "Time for 252 models: 00h:01m:35.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.21, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 31\n",
      "Time for 253 models: 00h:00m:30.05s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.12, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 32\n",
      "Time for 254 models: 00h:00m:46.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 33\n",
      "Time for 255 models: 00h:01m:20.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 34\n",
      "Time for 256 models: 00h:01m:15.11s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 35\n",
      "Time for 257 models: 00h:01m:07.37s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 36\n",
      "Time for 258 models: 00h:01m:52.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Completed forecasts for column: 'GB_UKM_solar_generation_actual', n_model: 37\n",
      "Time for 259 models: 00h:01m:13.77s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'GB_UKM_wind_generation_actual'\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.23\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 1\n",
      "Time for 260 models: 00h:00m:01.07s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.08, RMSE: 0.29, MAE: 0.28\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.29, MAE: 0.28\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.22\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 2\n",
      "Time for 261 models: 00h:00m:00.76s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.12, RMSE: 0.35, MAE: 0.32\n",
      "Prediction length: 96, MSE: 0.20, RMSE: 0.44, MAE: 0.42\n",
      "Prediction length: 168, MSE: 0.17, RMSE: 0.42, MAE: 0.39\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 3\n",
      "Time for 262 models: 00h:00m:00.85s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.24, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.24, RMSE: 0.49, MAE: 0.42\n",
      "Prediction length: 168, MSE: 0.15, RMSE: 0.39, MAE: 0.29\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 4\n",
      "Time for 263 models: 00h:00m:00.80s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.32, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.25, MAE: 0.17\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 5\n",
      "Time for 264 models: 00h:00m:00.57s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.21, MAE: 0.21\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.21, MAE: 0.19\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 6\n",
      "Time for 265 models: 00h:00m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 4) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.18\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 7\n",
      "Time for 266 models: 00h:00m:02.00s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.21, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.18, RMSE: 0.42, MAE: 0.39\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.30\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 8\n",
      "Time for 267 models: 00h:00m:00.68s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.31, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.33, MAE: 0.25\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 9\n",
      "Time for 268 models: 00h:00m:00.62s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.14, RMSE: 0.37, MAE: 0.31\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.23\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 10\n",
      "Time for 269 models: 00h:00m:00.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.12, RMSE: 0.34, MAE: 0.29\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.22\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 11\n",
      "Time for 270 models: 00h:00m:01.11s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.21, MAE: 0.20\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 12\n",
      "Time for 271 models: 00h:00m:01.09s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.20, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.12, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.13\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 13\n",
      "Time for 272 models: 00h:00m:00.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.16\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 14\n",
      "Time for 273 models: 00h:00m:01.11s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.17, RMSE: 0.41, MAE: 0.34\n",
      "Prediction length: 168, MSE: 0.23, RMSE: 0.48, MAE: 0.43\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 15\n",
      "Time for 274 models: 00h:00m:00.57s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.17\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 16\n",
      "Time for 275 models: 00h:00m:00.61s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.30\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.31, MAE: 0.28\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 17\n",
      "Time for 276 models: 00h:00m:00.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 18\n",
      "Time for 277 models: 00h:00m:00.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.34, MAE: 0.27\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 19\n",
      "Time for 278 models: 00h:00m:00.64s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 20\n",
      "Time for 279 models: 00h:00m:00.60s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.25\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 21\n",
      "Time for 280 models: 00h:00m:00.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.21, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.21\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 22\n",
      "Time for 281 models: 00h:00m:00.82s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.31, MAE: 0.23\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 23\n",
      "Time for 282 models: 00h:00m:00.99s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 24\n",
      "Time for 283 models: 00h:00m:01.12s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.19, RMSE: 0.44, MAE: 0.39\n",
      "Prediction length: 96, MSE: 0.25, RMSE: 0.50, MAE: 0.46\n",
      "Prediction length: 168, MSE: 0.16, RMSE: 0.40, MAE: 0.33\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 25\n",
      "Time for 284 models: 00h:00m:00.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 26\n",
      "Time for 285 models: 00h:00m:00.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 27\n",
      "Time for 286 models: 00h:00m:00.61s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 28\n",
      "Time for 287 models: 00h:00m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.16, RMSE: 0.40, MAE: 0.35\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 29\n",
      "Time for 288 models: 00h:00m:00.63s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.18, RMSE: 0.42, MAE: 0.33\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.25\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.21\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 30\n",
      "Time for 289 models: 00h:00m:00.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 31\n",
      "Time for 290 models: 00h:00m:00.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.17, RMSE: 0.42, MAE: 0.32\n",
      "Prediction length: 168, MSE: 0.16, RMSE: 0.39, MAE: 0.31\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 32\n",
      "Time for 291 models: 00h:00m:00.91s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.39, RMSE: 0.63, MAE: 0.57\n",
      "Prediction length: 96, MSE: 0.18, RMSE: 0.43, MAE: 0.36\n",
      "Prediction length: 168, MSE: 0.15, RMSE: 0.38, MAE: 0.31\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 33\n",
      "Time for 292 models: 00h:00m:01.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.20, RMSE: 0.45, MAE: 0.39\n",
      "Prediction length: 168, MSE: 0.18, RMSE: 0.42, MAE: 0.35\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 34\n",
      "Time for 293 models: 00h:00m:01.06s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.28, MAE: 0.21\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.29, MAE: 0.22\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 35\n",
      "Time for 294 models: 00h:00m:01.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 36\n",
      "Time for 295 models: 00h:00m:01.63s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.07, RMSE: 0.27, MAE: 0.22\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.18\n",
      "Completed forecasts for column: 'GB_UKM_wind_generation_actual', n_model: 37\n",
      "Time for 296 models: 00h:00m:01.53s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'GB_UKM_wind_offshore_generation_actual'\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.07, RMSE: 0.26, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.22, RMSE: 0.47, MAE: 0.36\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 1\n",
      "Time for 297 models: 00h:00m:00.93s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.20, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.21, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.26\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 2\n",
      "Time for 298 models: 00h:00m:00.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.27, RMSE: 0.52, MAE: 0.49\n",
      "Prediction length: 96, MSE: 0.31, RMSE: 0.56, MAE: 0.54\n",
      "Prediction length: 168, MSE: 0.28, RMSE: 0.53, MAE: 0.50\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 3\n",
      "Time for 299 models: 00h:00m:00.88s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.24, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.53, RMSE: 0.73, MAE: 0.61\n",
      "Prediction length: 168, MSE: 0.37, RMSE: 0.61, MAE: 0.47\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 4\n",
      "Time for 300 models: 00h:00m:00.97s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.20, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.32, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.17\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 5\n",
      "Time for 301 models: 00h:00m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.09, RMSE: 0.30, MAE: 0.30\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.26\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 6\n",
      "Time for 302 models: 00h:00m:00.61s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.07, RMSE: 0.26, MAE: 0.21\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.31, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.33, MAE: 0.23\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 7\n",
      "Time for 303 models: 00h:00m:00.57s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.22, MAE: 0.18\n",
      "Prediction length: 96, MSE: 0.16, RMSE: 0.40, MAE: 0.33\n",
      "Prediction length: 168, MSE: 0.13, RMSE: 0.35, MAE: 0.30\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 8\n",
      "Time for 304 models: 00h:00m:00.60s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.17, RMSE: 0.41, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.20, RMSE: 0.45, MAE: 0.31\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 9\n",
      "Time for 305 models: 00h:00m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.18, RMSE: 0.43, MAE: 0.34\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.25\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 10\n",
      "Time for 306 models: 00h:00m:00.77s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.14, RMSE: 0.37, MAE: 0.31\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.31, MAE: 0.25\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 11\n",
      "Time for 307 models: 00h:00m:01.14s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.11, RMSE: 0.33, MAE: 0.30\n",
      "Prediction length: 96, MSE: 0.13, RMSE: 0.35, MAE: 0.32\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.34, MAE: 0.30\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 12\n",
      "Time for 308 models: 00h:00m:00.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.32, MAE: 0.23\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 13\n",
      "Time for 309 models: 00h:00m:00.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.14, RMSE: 0.38, MAE: 0.37\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.32, MAE: 0.29\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.32, MAE: 0.28\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 14\n",
      "Time for 310 models: 00h:00m:00.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.31, RMSE: 0.56, MAE: 0.44\n",
      "Prediction length: 168, MSE: 0.46, RMSE: 0.68, MAE: 0.60\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 15\n",
      "Time for 311 models: 00h:00m:00.66s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.19, RMSE: 0.43, MAE: 0.36\n",
      "Prediction length: 168, MSE: 0.13, RMSE: 0.36, MAE: 0.27\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 16\n",
      "Time for 312 models: 00h:00m:01.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.12, RMSE: 0.35, MAE: 0.31\n",
      "Prediction length: 168, MSE: 0.15, RMSE: 0.39, MAE: 0.34\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 17\n",
      "Time for 313 models: 00h:00m:01.14s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.25, MAE: 0.21\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 18\n",
      "Time for 314 models: 00h:00m:00.64s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.15, RMSE: 0.39, MAE: 0.29\n",
      "Prediction length: 168, MSE: 0.24, RMSE: 0.49, MAE: 0.38\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 19\n",
      "Time for 315 models: 00h:00m:00.83s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.08, RMSE: 0.28, MAE: 0.27\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.25, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.18\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 20\n",
      "Time for 316 models: 00h:00m:00.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.25, MAE: 0.25\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.33, MAE: 0.28\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 21\n",
      "Time for 317 models: 00h:00m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 22\n",
      "Time for 318 models: 00h:00m:00.53s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.21, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 23\n",
      "Time for 319 models: 00h:00m:01.14s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.19, RMSE: 0.43, MAE: 0.41\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.30, MAE: 0.25\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.32, MAE: 0.29\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 24\n",
      "Time for 320 models: 00h:00m:01.04s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.29, RMSE: 0.54, MAE: 0.44\n",
      "Prediction length: 96, MSE: 0.43, RMSE: 0.65, MAE: 0.58\n",
      "Prediction length: 168, MSE: 0.29, RMSE: 0.54, MAE: 0.41\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 25\n",
      "Time for 321 models: 00h:00m:00.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 26\n",
      "Time for 322 models: 00h:00m:00.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 27\n",
      "Time for 323 models: 00h:00m:00.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.20, RMSE: 0.45, MAE: 0.35\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 28\n",
      "Time for 324 models: 00h:00m:00.64s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.07, RMSE: 0.26, MAE: 0.20\n",
      "Prediction length: 96, MSE: 0.43, RMSE: 0.66, MAE: 0.56\n",
      "Prediction length: 168, MSE: 0.54, RMSE: 0.74, MAE: 0.67\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 29\n",
      "Time for 325 models: 00h:00m:01.06s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.28, RMSE: 0.53, MAE: 0.35\n",
      "Prediction length: 96, MSE: 0.24, RMSE: 0.49, MAE: 0.35\n",
      "Prediction length: 168, MSE: 0.21, RMSE: 0.45, MAE: 0.36\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 30\n",
      "Time for 326 models: 00h:00m:00.63s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.18\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 31\n",
      "Time for 327 models: 00h:00m:00.84s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.17, RMSE: 0.41, MAE: 0.32\n",
      "Prediction length: 168, MSE: 0.19, RMSE: 0.44, MAE: 0.36\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 32\n",
      "Time for 328 models: 00h:00m:00.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.51, RMSE: 0.72, MAE: 0.63\n",
      "Prediction length: 96, MSE: 0.28, RMSE: 0.53, MAE: 0.43\n",
      "Prediction length: 168, MSE: 0.29, RMSE: 0.54, MAE: 0.45\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 33\n",
      "Time for 329 models: 00h:00m:01.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.26, RMSE: 0.51, MAE: 0.40\n",
      "Prediction length: 168, MSE: 0.25, RMSE: 0.50, MAE: 0.39\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 34\n",
      "Time for 330 models: 00h:00m:01.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.12, RMSE: 0.34, MAE: 0.31\n",
      "Prediction length: 96, MSE: 0.18, RMSE: 0.42, MAE: 0.35\n",
      "Prediction length: 168, MSE: 0.18, RMSE: 0.43, MAE: 0.34\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 35\n",
      "Time for 331 models: 00h:00m:01.03s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.24, MAE: 0.23\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.23\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 36\n",
      "Time for 332 models: 00h:00m:01.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 5) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.23, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.29, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.13, RMSE: 0.36, MAE: 0.31\n",
      "Completed forecasts for column: 'GB_UKM_wind_offshore_generation_actual', n_model: 37\n",
      "Time for 333 models: 00h:00m:02.45s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'GB_UKM_wind_onshore_generation_actual'\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.16, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 1\n",
      "Time for 334 models: 00h:00m:01.23s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.09, RMSE: 0.31, MAE: 0.29\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.30, MAE: 0.28\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 2\n",
      "Time for 335 models: 00h:00m:01.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.23, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.31\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.31, MAE: 0.28\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 3\n",
      "Time for 336 models: 00h:00m:00.84s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.22, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.28, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 4\n",
      "Time for 337 models: 00h:00m:00.83s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.29, MAE: 0.21\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.16\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 5\n",
      "Time for 338 models: 00h:00m:00.57s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.16\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 6\n",
      "Time for 339 models: 00h:00m:00.60s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.25, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 7\n",
      "Time for 340 models: 00h:00m:01.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.24, MAE: 0.22\n",
      "Prediction length: 96, MSE: 0.20, RMSE: 0.44, MAE: 0.42\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.30\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 8\n",
      "Time for 341 models: 00h:00m:01.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.17\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 9\n",
      "Time for 342 models: 00h:00m:01.38s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.30, MAE: 0.25\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.25, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 10\n",
      "Time for 343 models: 00h:00m:01.42s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.31, MAE: 0.28\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.21\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 11\n",
      "Time for 344 models: 00h:00m:01.76s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.32, MAE: 0.25\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 12\n",
      "Time for 345 models: 00h:00m:00.91s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.22, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 13\n",
      "Time for 346 models: 00h:00m:00.85s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 14\n",
      "Time for 347 models: 00h:00m:00.96s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.31, MAE: 0.28\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 15\n",
      "Time for 348 models: 00h:00m:00.92s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 16\n",
      "Time for 349 models: 00h:00m:00.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 17\n",
      "Time for 350 models: 00h:00m:00.85s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 18\n",
      "Time for 351 models: 00h:00m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.19\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 19\n",
      "Time for 352 models: 00h:00m:00.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 20\n",
      "Time for 353 models: 00h:00m:00.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.28, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.23\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 21\n",
      "Time for 354 models: 00h:00m:00.52s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 22\n",
      "Time for 355 models: 00h:00m:01.13s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.18\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 23\n",
      "Time for 356 models: 00h:00m:00.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 24\n",
      "Time for 357 models: 00h:00m:01.79s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.10, RMSE: 0.32, MAE: 0.30\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.31\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.24\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 25\n",
      "Time for 358 models: 00h:00m:00.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.23, MAE: 0.21\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.23, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 26\n",
      "Time for 359 models: 00h:00m:00.88s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 27\n",
      "Time for 360 models: 00h:00m:01.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 28\n",
      "Time for 361 models: 00h:00m:01.19s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 29\n",
      "Time for 362 models: 00h:00m:01.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.25, MAE: 0.21\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 30\n",
      "Time for 363 models: 00h:00m:01.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.15\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 31\n",
      "Time for 364 models: 00h:00m:01.30s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.15, RMSE: 0.39, MAE: 0.30\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.34, MAE: 0.26\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 32\n",
      "Time for 365 models: 00h:00m:00.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.23, RMSE: 0.48, MAE: 0.45\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.32, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.20\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 33\n",
      "Time for 366 models: 00h:00m:01.92s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.15, RMSE: 0.38, MAE: 0.34\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.34, MAE: 0.30\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 34\n",
      "Time for 367 models: 00h:00m:01.33s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 1, 4) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.14\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 35\n",
      "Time for 368 models: 00h:00m:04.19s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 5) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 36\n",
      "Time for 369 models: 00h:00m:03.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.18, RMSE: 0.42, MAE: 0.38\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.32, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.21\n",
      "Completed forecasts for column: 'GB_UKM_wind_onshore_generation_actual', n_model: 37\n",
      "Time for 370 models: 00h:00m:01.54s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'ES_load_actual_entsoe_transparency'\n",
      "Best ARIMA parameters: (3, 1, 0) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.14\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 1\n",
      "Time for 371 models: 00h:02m:52.20s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 4) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.19\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 2\n",
      "Time for 372 models: 00h:06m:10.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.20, RMSE: 0.45, MAE: 0.37\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 3\n",
      "Time for 373 models: 00h:02m:08.09s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 4\n",
      "Time for 374 models: 00h:00m:39.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 5\n",
      "Time for 375 models: 00h:03m:11.13s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 6\n",
      "Time for 376 models: 00h:02m:52.78s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 7\n",
      "Time for 377 models: 00h:01m:08.53s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 8\n",
      "Time for 378 models: 00h:01m:46.23s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 9\n",
      "Time for 379 models: 00h:01m:33.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 10\n",
      "Time for 380 models: 00h:01m:06.79s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 4) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.12\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 11\n",
      "Time for 381 models: 00h:03m:25.73s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 12\n",
      "Time for 382 models: 00h:01m:51.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 13\n",
      "Time for 383 models: 00h:02m:42.70s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 14\n",
      "Time for 384 models: 00h:02m:38.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 15\n",
      "Time for 385 models: 00h:02m:31.62s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 16\n",
      "Time for 386 models: 00h:01m:19.97s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 17\n",
      "Time for 387 models: 00h:03m:02.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 18\n",
      "Time for 388 models: 00h:02m:24.09s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 19\n",
      "Time for 389 models: 00h:01m:25.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 20\n",
      "Time for 390 models: 00h:02m:09.27s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 21\n",
      "Time for 391 models: 00h:02m:10.69s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 4) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 22\n",
      "Time for 392 models: 00h:06m:49.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 23\n",
      "Time for 393 models: 00h:01m:14.20s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 24\n",
      "Time for 394 models: 00h:01m:55.11s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 25\n",
      "Time for 395 models: 00h:02m:55.00s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 26\n",
      "Time for 396 models: 00h:02m:38.49s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 27\n",
      "Time for 397 models: 00h:02m:15.67s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.16, RMSE: 0.40, MAE: 0.33\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 28\n",
      "Time for 398 models: 00h:01m:35.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.16, MAE: 0.11\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 29\n",
      "Time for 399 models: 00h:02m:28.76s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 30\n",
      "Time for 400 models: 00h:01m:12.82s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 31\n",
      "Time for 401 models: 00h:02m:38.70s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.16, MAE: 0.13\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 32\n",
      "Time for 402 models: 00h:02m:46.82s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.18\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 33\n",
      "Time for 403 models: 00h:02m:08.11s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 34\n",
      "Time for 404 models: 00h:01m:26.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 35\n",
      "Time for 405 models: 00h:05m:08.35s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.13\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 36\n",
      "Time for 406 models: 00h:01m:10.29s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.09\n",
      "Completed forecasts for column: 'ES_load_actual_entsoe_transparency', n_model: 37\n",
      "Time for 407 models: 00h:01m:27.51s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'ES_solar_generation_actual'\n",
      "Best ARIMA parameters: (2, 1, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 1\n",
      "Time for 408 models: 00h:02m:36.53s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.04\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 2\n",
      "Time for 409 models: 00h:02m:08.29s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 3\n",
      "Time for 410 models: 00h:02m:05.38s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 4\n",
      "Time for 411 models: 00h:01m:18.43s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 5\n",
      "Time for 412 models: 00h:00m:55.39s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.32, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.30, RMSE: 0.54, MAE: 0.42\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 6\n",
      "Time for 413 models: 00h:00m:56.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 5) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.19, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.14\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 7\n",
      "Time for 414 models: 00h:03m:24.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.13\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 8\n",
      "Time for 415 models: 00h:01m:10.30s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.07\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 9\n",
      "Time for 416 models: 00h:01m:27.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 10\n",
      "Time for 417 models: 00h:00m:24.99s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.29, MAE: 0.17\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 11\n",
      "Time for 418 models: 00h:01m:30.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.32, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.19\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 12\n",
      "Time for 419 models: 00h:00m:23.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 13\n",
      "Time for 420 models: 00h:00m:44.30s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 14\n",
      "Time for 421 models: 00h:01m:05.40s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 15\n",
      "Time for 422 models: 00h:01m:19.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.28, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.13, RMSE: 0.36, MAE: 0.24\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 16\n",
      "Time for 423 models: 00h:02m:07.82s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.10\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 17\n",
      "Time for 424 models: 00h:02m:11.62s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.22, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.16\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 18\n",
      "Time for 425 models: 00h:02m:02.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 4) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.09, RMSE: 0.29, MAE: 0.24\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.29, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.21\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 19\n",
      "Time for 426 models: 00h:02m:23.78s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.16, MAE: 0.11\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 20\n",
      "Time for 427 models: 00h:01m:43.31s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.12\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 21\n",
      "Time for 428 models: 00h:01m:47.65s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.10\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 22\n",
      "Time for 429 models: 00h:01m:59.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.14\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 23\n",
      "Time for 430 models: 00h:01m:44.92s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 24\n",
      "Time for 431 models: 00h:02m:25.93s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 25\n",
      "Time for 432 models: 00h:02m:32.31s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.10\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 26\n",
      "Time for 433 models: 00h:02m:01.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 27\n",
      "Time for 434 models: 00h:02m:50.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 4) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.06, RMSE: 0.24, MAE: 0.18\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 28\n",
      "Time for 435 models: 00h:02m:35.41s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 29\n",
      "Time for 436 models: 00h:01m:49.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 30\n",
      "Time for 437 models: 00h:02m:24.62s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.19, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.17\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 31\n",
      "Time for 438 models: 00h:02m:03.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 32\n",
      "Time for 439 models: 00h:02m:12.13s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 33\n",
      "Time for 440 models: 00h:01m:58.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.13, RMSE: 0.36, MAE: 0.25\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.07\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 34\n",
      "Time for 441 models: 00h:03m:03.50s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 35\n",
      "Time for 442 models: 00h:02m:46.72s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.10\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 36\n",
      "Time for 443 models: 00h:01m:59.20s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.15\n",
      "Completed forecasts for column: 'ES_solar_generation_actual', n_model: 37\n",
      "Time for 444 models: 00h:03m:16.04s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'ES_wind_onshore_generation_actual'\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.19, MAE: 0.15\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 1\n",
      "Time for 445 models: 00h:00m:00.77s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.20, RMSE: 0.45, MAE: 0.40\n",
      "Prediction length: 168, MSE: 0.21, RMSE: 0.45, MAE: 0.40\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 2\n",
      "Time for 446 models: 00h:00m:00.60s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.11, RMSE: 0.33, MAE: 0.29\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.31\n",
      "Prediction length: 168, MSE: 0.14, RMSE: 0.37, MAE: 0.35\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 3\n",
      "Time for 447 models: 00h:00m:01.06s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.20, MAE: 0.18\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 4\n",
      "Time for 448 models: 00h:00m:01.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.18\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 5\n",
      "Time for 449 models: 00h:00m:01.14s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.11\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 6\n",
      "Time for 450 models: 00h:00m:01.07s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.31\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 7\n",
      "Time for 451 models: 00h:00m:01.95s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.16\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 8\n",
      "Time for 452 models: 00h:00m:00.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.29, MAE: 0.25\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.24\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 9\n",
      "Time for 453 models: 00h:00m:01.03s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.30, MAE: 0.27\n",
      "Prediction length: 168, MSE: 0.13, RMSE: 0.37, MAE: 0.34\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 10\n",
      "Time for 454 models: 00h:00m:00.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 11\n",
      "Time for 455 models: 00h:00m:00.95s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.18\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 12\n",
      "Time for 456 models: 00h:00m:01.21s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 13\n",
      "Time for 457 models: 00h:00m:01.60s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.28, MAE: 0.25\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 14\n",
      "Time for 458 models: 00h:00m:01.23s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.08, RMSE: 0.28, MAE: 0.23\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.19, MAE: 0.15\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 15\n",
      "Time for 459 models: 00h:00m:00.74s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 16\n",
      "Time for 460 models: 00h:00m:01.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.22, MAE: 0.20\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.16\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 17\n",
      "Time for 461 models: 00h:00m:01.24s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 18\n",
      "Time for 462 models: 00h:00m:00.96s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 19\n",
      "Time for 463 models: 00h:00m:02.44s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.28, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.33, MAE: 0.30\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 20\n",
      "Time for 464 models: 00h:00m:00.91s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 21\n",
      "Time for 465 models: 00h:00m:01.64s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.23, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.15\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 22\n",
      "Time for 466 models: 00h:00m:01.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 23\n",
      "Time for 467 models: 00h:00m:01.04s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 24\n",
      "Time for 468 models: 00h:00m:01.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.23, MAE: 0.22\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 25\n",
      "Time for 469 models: 00h:00m:01.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.07, RMSE: 0.26, MAE: 0.23\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.21, MAE: 0.18\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 26\n",
      "Time for 470 models: 00h:00m:03.14s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 1, 5) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.13\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 27\n",
      "Time for 471 models: 00h:00m:04.52s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.29, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.31, MAE: 0.29\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 28\n",
      "Time for 472 models: 00h:00m:01.33s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 29\n",
      "Time for 473 models: 00h:00m:01.31s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.18\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 30\n",
      "Time for 474 models: 00h:00m:01.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 31\n",
      "Time for 475 models: 00h:00m:01.03s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.10\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 32\n",
      "Time for 476 models: 00h:00m:01.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 33\n",
      "Time for 477 models: 00h:00m:01.06s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.16\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 34\n",
      "Time for 478 models: 00h:00m:00.99s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.23, MAE: 0.21\n",
      "Prediction length: 96, MSE: 0.13, RMSE: 0.36, MAE: 0.35\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.34, MAE: 0.33\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 35\n",
      "Time for 479 models: 00h:00m:01.00s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 36\n",
      "Time for 480 models: 00h:00m:01.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.31, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.29, MAE: 0.22\n",
      "Completed forecasts for column: 'ES_wind_onshore_generation_actual', n_model: 37\n",
      "Time for 481 models: 00h:00m:01.18s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'FR_load_actual_entsoe_transparency'\n",
      "Best ARIMA parameters: (2, 1, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 1\n",
      "Time for 482 models: 00h:03m:33.80s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 1, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.15\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 2\n",
      "Time for 483 models: 00h:03m:51.65s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 3\n",
      "Time for 484 models: 00h:00m:29.13s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.13\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 4\n",
      "Time for 485 models: 00h:00m:29.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 1, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 5\n",
      "Time for 486 models: 00h:04m:25.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 6\n",
      "Time for 487 models: 00h:02m:23.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 1, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 7\n",
      "Time for 488 models: 00h:03m:20.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 8\n",
      "Time for 489 models: 00h:02m:50.47s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 9\n",
      "Time for 490 models: 00h:02m:50.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.20\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 10\n",
      "Time for 491 models: 00h:02m:59.84s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 11\n",
      "Time for 492 models: 00h:02m:43.76s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.22\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 12\n",
      "Time for 493 models: 00h:03m:41.95s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 0) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 13\n",
      "Time for 494 models: 00h:02m:18.71s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 14\n",
      "Time for 495 models: 00h:00m:30.44s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 15\n",
      "Time for 496 models: 00h:02m:06.11s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 16\n",
      "Time for 497 models: 00h:02m:00.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 17\n",
      "Time for 498 models: 00h:01m:25.59s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 18\n",
      "Time for 499 models: 00h:02m:03.45s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 19\n",
      "Time for 500 models: 00h:00m:57.60s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.00, MAE: 0.00\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 20\n",
      "Time for 501 models: 00h:01m:38.63s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 21\n",
      "Time for 502 models: 00h:02m:58.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 22\n",
      "Time for 503 models: 00h:00m:39.60s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.00, MAE: 0.00\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 23\n",
      "Time for 504 models: 00h:00m:39.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 24\n",
      "Time for 505 models: 00h:00m:52.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 25\n",
      "Time for 506 models: 00h:01m:55.47s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 26\n",
      "Time for 507 models: 00h:04m:11.88s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 27\n",
      "Time for 508 models: 00h:02m:51.29s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 28\n",
      "Time for 509 models: 00h:02m:13.57s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 29\n",
      "Time for 510 models: 00h:02m:42.68s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 30\n",
      "Time for 511 models: 00h:01m:59.27s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 31\n",
      "Time for 512 models: 00h:02m:23.75s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 32\n",
      "Time for 513 models: 00h:03m:01.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 0) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 33\n",
      "Time for 514 models: 00h:03m:10.24s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 34\n",
      "Time for 515 models: 00h:01m:16.69s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 35\n",
      "Time for 516 models: 00h:01m:09.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 36\n",
      "Time for 517 models: 00h:02m:37.39s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Completed forecasts for column: 'FR_load_actual_entsoe_transparency', n_model: 37\n",
      "Time for 518 models: 00h:00m:57.78s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'FR_solar_generation_actual'\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 1\n",
      "Time for 519 models: 00h:00m:48.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 4) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.03\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 2\n",
      "Time for 520 models: 00h:03m:33.66s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 3\n",
      "Time for 521 models: 00h:02m:08.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 4\n",
      "Time for 522 models: 00h:01m:43.37s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 5\n",
      "Time for 523 models: 00h:02m:40.42s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.16, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.12\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 6\n",
      "Time for 524 models: 00h:01m:58.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.06\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 7\n",
      "Time for 525 models: 00h:02m:47.00s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 8\n",
      "Time for 526 models: 00h:01m:24.10s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 9\n",
      "Time for 527 models: 00h:01m:29.95s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 10\n",
      "Time for 528 models: 00h:01m:12.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.08\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 11\n",
      "Time for 529 models: 00h:02m:56.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.12, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.10\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 12\n",
      "Time for 530 models: 00h:02m:20.99s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.06\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 13\n",
      "Time for 531 models: 00h:01m:23.71s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.19, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 14\n",
      "Time for 532 models: 00h:01m:07.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.11\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 15\n",
      "Time for 533 models: 00h:01m:30.14s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 16\n",
      "Time for 534 models: 00h:01m:13.62s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 4) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 17\n",
      "Time for 535 models: 00h:03m:22.14s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.29, MAE: 0.17\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 18\n",
      "Time for 536 models: 00h:02m:16.83s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.18\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 19\n",
      "Time for 537 models: 00h:00m:53.22s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 20\n",
      "Time for 538 models: 00h:01m:20.42s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 21\n",
      "Time for 539 models: 00h:02m:23.12s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 22\n",
      "Time for 540 models: 00h:00m:47.38s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 4) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.06\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 23\n",
      "Time for 541 models: 00h:04m:25.75s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 24\n",
      "Time for 542 models: 00h:01m:53.61s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 4) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.08\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 25\n",
      "Time for 543 models: 00h:01m:51.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.12\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 26\n",
      "Time for 544 models: 00h:02m:11.20s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.09\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 27\n",
      "Time for 545 models: 00h:02m:54.88s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 28\n",
      "Time for 546 models: 00h:01m:32.21s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.16, MAE: 0.12\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 29\n",
      "Time for 547 models: 00h:02m:09.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.06\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 30\n",
      "Time for 548 models: 00h:01m:30.10s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 31\n",
      "Time for 549 models: 00h:01m:42.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 32\n",
      "Time for 550 models: 00h:01m:15.65s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 33\n",
      "Time for 551 models: 00h:01m:36.23s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.08\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 34\n",
      "Time for 552 models: 00h:01m:30.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 35\n",
      "Time for 553 models: 00h:01m:31.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 36\n",
      "Time for 554 models: 00h:02m:34.83s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_solar_generation_actual', n_model: 37\n",
      "Time for 555 models: 00h:00m:47.15s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'FR_wind_onshore_generation_actual'\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.14, RMSE: 0.37, MAE: 0.29\n",
      "Prediction length: 168, MSE: 0.26, RMSE: 0.51, MAE: 0.44\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 1\n",
      "Time for 556 models: 00h:00m:01.53s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.21, MAE: 0.18\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 2\n",
      "Time for 557 models: 00h:00m:01.53s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.29\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.26\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 3\n",
      "Time for 558 models: 00h:00m:01.20s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.18, RMSE: 0.43, MAE: 0.38\n",
      "Prediction length: 168, MSE: 0.15, RMSE: 0.38, MAE: 0.34\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 4\n",
      "Time for 559 models: 00h:00m:01.06s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.21, RMSE: 0.46, MAE: 0.37\n",
      "Prediction length: 168, MSE: 0.17, RMSE: 0.41, MAE: 0.32\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 5\n",
      "Time for 560 models: 00h:00m:01.24s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.28, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.25, MAE: 0.20\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 6\n",
      "Time for 561 models: 00h:00m:01.00s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.21, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.21, MAE: 0.18\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 7\n",
      "Time for 562 models: 00h:00m:01.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.11, RMSE: 0.33, MAE: 0.30\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.25, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.19\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 8\n",
      "Time for 563 models: 00h:00m:01.20s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.31, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.22, RMSE: 0.47, MAE: 0.40\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 9\n",
      "Time for 564 models: 00h:00m:00.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.31, MAE: 0.26\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 10\n",
      "Time for 565 models: 00h:00m:00.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.23\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 11\n",
      "Time for 566 models: 00h:00m:00.91s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.30, MAE: 0.26\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.24\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 12\n",
      "Time for 567 models: 00h:00m:00.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.11\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 13\n",
      "Time for 568 models: 00h:00m:01.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.21, MAE: 0.19\n",
      "Prediction length: 96, MSE: 0.14, RMSE: 0.37, MAE: 0.35\n",
      "Prediction length: 168, MSE: 0.16, RMSE: 0.40, MAE: 0.37\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 14\n",
      "Time for 569 models: 00h:00m:00.93s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.31, MAE: 0.28\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.34, MAE: 0.32\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 15\n",
      "Time for 570 models: 00h:00m:00.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.04, RMSE: 0.19, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.33, MAE: 0.29\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.21\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 16\n",
      "Time for 571 models: 00h:00m:01.11s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.19, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.23\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 17\n",
      "Time for 572 models: 00h:00m:01.48s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 18\n",
      "Time for 573 models: 00h:00m:01.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (4, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.14\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 19\n",
      "Time for 574 models: 00h:00m:02.88s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 20\n",
      "Time for 575 models: 00h:00m:01.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 5) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.15\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 21\n",
      "Time for 576 models: 00h:00m:03.11s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 22\n",
      "Time for 577 models: 00h:00m:01.02s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.11\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 23\n",
      "Time for 578 models: 00h:00m:02.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 24\n",
      "Time for 579 models: 00h:00m:01.36s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 25\n",
      "Time for 580 models: 00h:00m:00.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.11\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 26\n",
      "Time for 581 models: 00h:00m:01.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.12, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 27\n",
      "Time for 582 models: 00h:00m:02.27s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.19, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 28\n",
      "Time for 583 models: 00h:00m:02.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 29\n",
      "Time for 584 models: 00h:00m:01.24s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.21, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.20\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 30\n",
      "Time for 585 models: 00h:00m:01.40s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 31\n",
      "Time for 586 models: 00h:00m:01.33s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.25, MAE: 0.20\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 32\n",
      "Time for 587 models: 00h:00m:01.32s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.26, RMSE: 0.51, MAE: 0.44\n",
      "Prediction length: 96, MSE: 0.19, RMSE: 0.43, MAE: 0.37\n",
      "Prediction length: 168, MSE: 0.12, RMSE: 0.35, MAE: 0.28\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 33\n",
      "Time for 588 models: 00h:00m:01.32s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 34\n",
      "Time for 589 models: 00h:00m:01.17s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 35\n",
      "Time for 590 models: 00h:00m:01.67s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.15\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 36\n",
      "Time for 591 models: 00h:00m:01.30s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.19, RMSE: 0.44, MAE: 0.35\n",
      "Prediction length: 168, MSE: 0.24, RMSE: 0.49, MAE: 0.41\n",
      "Completed forecasts for column: 'FR_wind_onshore_generation_actual', n_model: 37\n",
      "Time for 592 models: 00h:00m:01.03s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'IT_load_actual_entsoe_transparency'\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.26, MAE: 0.20\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 1\n",
      "Time for 593 models: 00h:04m:10.83s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.13\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 2\n",
      "Time for 594 models: 00h:01m:29.09s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.29, MAE: 0.19\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 3\n",
      "Time for 595 models: 00h:02m:11.04s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.11\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 4\n",
      "Time for 596 models: 00h:01m:38.22s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 5\n",
      "Time for 597 models: 00h:01m:30.22s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 6\n",
      "Time for 598 models: 00h:01m:40.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 7\n",
      "Time for 599 models: 00h:01m:17.84s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.07\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 8\n",
      "Time for 600 models: 00h:01m:42.15s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 0, 2) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.29, MAE: 0.24\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 9\n",
      "Time for 601 models: 00h:02m:23.76s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 10\n",
      "Time for 602 models: 00h:02m:34.24s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.06\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 11\n",
      "Time for 603 models: 00h:03m:15.32s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 12\n",
      "Time for 604 models: 00h:02m:33.47s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 13\n",
      "Time for 605 models: 00h:01m:45.43s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.19, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 14\n",
      "Time for 606 models: 00h:03m:03.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 15\n",
      "Time for 607 models: 00h:02m:09.39s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 16\n",
      "Time for 608 models: 00h:00m:34.44s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 17\n",
      "Time for 609 models: 00h:00m:58.73s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 18\n",
      "Time for 610 models: 00h:02m:42.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.11\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 19\n",
      "Time for 611 models: 00h:02m:07.62s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 20\n",
      "Time for 612 models: 00h:02m:17.42s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 5) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.19, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.13\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 21\n",
      "Time for 613 models: 00h:02m:45.41s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.12, MAE: 0.10\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 22\n",
      "Time for 614 models: 00h:02m:12.70s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 23\n",
      "Time for 615 models: 00h:01m:36.68s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 24\n",
      "Time for 616 models: 00h:01m:34.74s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 25\n",
      "Time for 617 models: 00h:03m:06.96s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.14\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 26\n",
      "Time for 618 models: 00h:03m:07.42s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 27\n",
      "Time for 619 models: 00h:03m:14.14s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 28\n",
      "Time for 620 models: 00h:00m:43.71s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 5) (1, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 29\n",
      "Time for 621 models: 00h:01m:19.73s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 5) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 30\n",
      "Time for 622 models: 00h:03m:11.57s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 0) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 31\n",
      "Time for 623 models: 00h:02m:53.70s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.11, RMSE: 0.34, MAE: 0.26\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 32\n",
      "Time for 624 models: 00h:02m:26.24s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 33\n",
      "Time for 625 models: 00h:02m:35.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.08\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 34\n",
      "Time for 626 models: 00h:01m:35.37s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.12\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 35\n",
      "Time for 627 models: 00h:02m:41.29s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.13\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 36\n",
      "Time for 628 models: 00h:02m:24.01s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_load_actual_entsoe_transparency', n_model: 37\n",
      "Time for 629 models: 00h:01m:33.82s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'IT_solar_generation_actual'\n",
      "Best ARIMA parameters: (1, 0, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 1\n",
      "Time for 630 models: 00h:01m:24.64s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 2\n",
      "Time for 631 models: 00h:02m:08.31s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.07, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 3\n",
      "Time for 632 models: 00h:02m:24.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.16, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.08\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 4\n",
      "Time for 633 models: 00h:02m:03.86s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.11, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 5\n",
      "Time for 634 models: 00h:01m:30.72s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.04\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 6\n",
      "Time for 635 models: 00h:01m:48.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 0) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.12, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 7\n",
      "Time for 636 models: 00h:02m:05.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 8\n",
      "Time for 637 models: 00h:01m:13.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 9\n",
      "Time for 638 models: 00h:01m:52.57s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.06\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 10\n",
      "Time for 639 models: 00h:02m:20.57s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.12, MAE: 0.06\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 11\n",
      "Time for 640 models: 00h:01m:42.32s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.11\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 12\n",
      "Time for 641 models: 00h:01m:53.12s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 13\n",
      "Time for 642 models: 00h:01m:15.74s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.16, MAE: 0.07\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 14\n",
      "Time for 643 models: 00h:01m:23.44s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 3) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.19, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.16\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 15\n",
      "Time for 644 models: 00h:01m:18.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.05\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 16\n",
      "Time for 645 models: 00h:02m:11.10s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.04\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 17\n",
      "Time for 646 models: 00h:02m:11.62s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 18\n",
      "Time for 647 models: 00h:00m:39.52s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.07\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.10\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 19\n",
      "Time for 648 models: 00h:01m:18.75s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 20\n",
      "Time for 649 models: 00h:03m:08.13s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.07, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.06\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 21\n",
      "Time for 650 models: 00h:02m:01.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.06\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 22\n",
      "Time for 651 models: 00h:01m:51.58s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.05\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 23\n",
      "Time for 652 models: 00h:01m:54.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 24\n",
      "Time for 653 models: 00h:01m:20.37s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 25\n",
      "Time for 654 models: 00h:03m:18.34s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.03\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 26\n",
      "Time for 655 models: 00h:04m:47.93s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 27\n",
      "Time for 656 models: 00h:01m:27.55s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 4) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 28\n",
      "Time for 657 models: 00h:04m:16.40s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 4) (2, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.07, MAE: 0.02\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 29\n",
      "Time for 658 models: 00h:03m:14.07s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.10, MAE: 0.07\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 30\n",
      "Time for 659 models: 00h:02m:02.89s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 31\n",
      "Time for 660 models: 00h:03m:14.19s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (1, 0, 1, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.04\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 32\n",
      "Time for 661 models: 00h:00m:51.66s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (2, 0, 0, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.03, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.02, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.09, MAE: 0.04\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 33\n",
      "Time for 662 models: 00h:02m:16.29s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (1, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 34\n",
      "Time for 663 models: 00h:02m:07.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 1) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 35\n",
      "Time for 664 models: 00h:02m:29.46s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.01, MAE: 0.01\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.03, MAE: 0.01\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.04, MAE: 0.02\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 36\n",
      "Time for 665 models: 00h:02m:52.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 3) (2, 0, 2, 24)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.05, MAE: 0.02\n",
      "Prediction length: 168, MSE: 0.00, RMSE: 0.06, MAE: 0.03\n",
      "Completed forecasts for column: 'IT_solar_generation_actual', n_model: 37\n",
      "Time for 666 models: 00h:02m:38.25s\n",
      "---------------------------------------------------------------------------\n",
      "Processing column: 'IT_wind_onshore_generation_actual'\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.02, MAE: 0.02\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.31, MAE: 0.23\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 1\n",
      "Time for 667 models: 00h:00m:00.96s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.30, MAE: 0.28\n",
      "Prediction length: 168, MSE: 0.10, RMSE: 0.32, MAE: 0.30\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 2\n",
      "Time for 668 models: 00h:00m:00.96s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.11, RMSE: 0.34, MAE: 0.32\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.26, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.20\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 3\n",
      "Time for 669 models: 00h:00m:00.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.25, RMSE: 0.50, MAE: 0.47\n",
      "Prediction length: 96, MSE: 0.19, RMSE: 0.43, MAE: 0.38\n",
      "Prediction length: 168, MSE: 0.16, RMSE: 0.40, MAE: 0.36\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 4\n",
      "Time for 670 models: 00h:00m:00.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.19, RMSE: 0.43, MAE: 0.34\n",
      "Prediction length: 168, MSE: 0.32, RMSE: 0.57, MAE: 0.48\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 5\n",
      "Time for 671 models: 00h:00m:01.04s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.17\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 6\n",
      "Time for 672 models: 00h:00m:00.89s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.32, MAE: 0.28\n",
      "Prediction length: 168, MSE: 0.09, RMSE: 0.30, MAE: 0.26\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 7\n",
      "Time for 673 models: 00h:00m:01.91s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.19, RMSE: 0.44, MAE: 0.36\n",
      "Prediction length: 168, MSE: 0.25, RMSE: 0.50, MAE: 0.45\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 8\n",
      "Time for 674 models: 00h:00m:01.10s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.21\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 9\n",
      "Time for 675 models: 00h:00m:01.54s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.22, MAE: 0.15\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 10\n",
      "Time for 676 models: 00h:00m:01.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.14, RMSE: 0.38, MAE: 0.32\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 11\n",
      "Time for 677 models: 00h:00m:01.40s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.22\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 12\n",
      "Time for 678 models: 00h:00m:01.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.15, MAE: 0.13\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 13\n",
      "Time for 679 models: 00h:00m:01.51s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.25, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.25, MAE: 0.23\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 14\n",
      "Time for 680 models: 00h:00m:00.94s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.19\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.21\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 15\n",
      "Time for 681 models: 00h:00m:00.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.17, MAE: 0.15\n",
      "Prediction length: 96, MSE: 0.10, RMSE: 0.32, MAE: 0.27\n",
      "Prediction length: 168, MSE: 0.08, RMSE: 0.28, MAE: 0.23\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 16\n",
      "Time for 682 models: 00h:00m:01.16s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.09, RMSE: 0.29, MAE: 0.25\n",
      "Prediction length: 96, MSE: 0.08, RMSE: 0.28, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.07, RMSE: 0.27, MAE: 0.21\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 17\n",
      "Time for 683 models: 00h:00m:00.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.07, RMSE: 0.27, MAE: 0.25\n",
      "Prediction length: 96, MSE: 0.07, RMSE: 0.27, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.14, RMSE: 0.38, MAE: 0.34\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 18\n",
      "Time for 684 models: 00h:00m:00.98s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.07, MAE: 0.06\n",
      "Prediction length: 96, MSE: 0.09, RMSE: 0.29, MAE: 0.23\n",
      "Prediction length: 168, MSE: 0.06, RMSE: 0.24, MAE: 0.18\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 19\n",
      "Time for 685 models: 00h:00m:00.90s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.05, RMSE: 0.23, MAE: 0.21\n",
      "Prediction length: 96, MSE: 0.04, RMSE: 0.20, MAE: 0.18\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.19\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 20\n",
      "Time for 686 models: 00h:00m:01.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (0, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.11\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.23, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.19, MAE: 0.15\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 21\n",
      "Time for 687 models: 00h:00m:01.26s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 22\n",
      "Time for 688 models: 00h:00m:01.25s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.05, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.11\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.14\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 23\n",
      "Time for 689 models: 00h:00m:01.56s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.13, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.18, RMSE: 0.42, MAE: 0.38\n",
      "Prediction length: 168, MSE: 0.21, RMSE: 0.45, MAE: 0.42\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 24\n",
      "Time for 690 models: 00h:00m:01.42s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.18, MAE: 0.16\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.20\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.19, MAE: 0.17\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 25\n",
      "Time for 691 models: 00h:00m:01.30s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.09, RMSE: 0.30, MAE: 0.24\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.20, MAE: 0.16\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 26\n",
      "Time for 692 models: 00h:00m:01.18s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.17, MAE: 0.16\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.16, MAE: 0.14\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 27\n",
      "Time for 693 models: 00h:00m:01.32s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 1) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.02, RMSE: 0.14, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 28\n",
      "Time for 694 models: 00h:00m:01.21s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 3) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.04\n",
      "Prediction length: 96, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.12\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 29\n",
      "Time for 695 models: 00h:00m:01.31s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.16, MAE: 0.13\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.18, MAE: 0.15\n",
      "Prediction length: 168, MSE: 0.04, RMSE: 0.21, MAE: 0.17\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 30\n",
      "Time for 696 models: 00h:00m:01.39s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.04, MAE: 0.03\n",
      "Prediction length: 96, MSE: 0.03, RMSE: 0.16, MAE: 0.10\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.17, MAE: 0.12\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 31\n",
      "Time for 697 models: 00h:00m:00.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.02, RMSE: 0.15, MAE: 0.12\n",
      "Prediction length: 96, MSE: 0.06, RMSE: 0.24, MAE: 0.22\n",
      "Prediction length: 168, MSE: 0.05, RMSE: 0.23, MAE: 0.21\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 32\n",
      "Time for 698 models: 00h:00m:01.23s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 1, 4) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.10, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.02, RMSE: 0.14, MAE: 0.10\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 33\n",
      "Time for 699 models: 00h:00m:03.87s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (5, 1, 0) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.08, RMSE: 0.28, MAE: 0.25\n",
      "Prediction length: 96, MSE: 0.13, RMSE: 0.36, MAE: 0.33\n",
      "Prediction length: 168, MSE: 0.14, RMSE: 0.38, MAE: 0.36\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 34\n",
      "Time for 700 models: 00h:00m:01.28s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (1, 0, 4) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.12, MAE: 0.10\n",
      "Prediction length: 96, MSE: 0.01, RMSE: 0.09, MAE: 0.08\n",
      "Prediction length: 168, MSE: 0.01, RMSE: 0.11, MAE: 0.09\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 35\n",
      "Time for 701 models: 00h:00m:02.42s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (2, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.00, RMSE: 0.06, MAE: 0.05\n",
      "Prediction length: 96, MSE: 0.05, RMSE: 0.22, MAE: 0.17\n",
      "Prediction length: 168, MSE: 0.03, RMSE: 0.18, MAE: 0.14\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 36\n",
      "Time for 702 models: 00h:00m:01.77s\n",
      "---------------------------------------------------------------------------\n",
      "Best ARIMA parameters: (3, 0, 2) (0, 0, 0, 0)\n",
      "Prediction length: 24, MSE: 0.01, RMSE: 0.08, MAE: 0.07\n",
      "Prediction length: 96, MSE: 0.11, RMSE: 0.32, MAE: 0.24\n",
      "Prediction length: 168, MSE: 0.14, RMSE: 0.38, MAE: 0.32\n",
      "Completed forecasts for column: 'IT_wind_onshore_generation_actual', n_model: 37\n",
      "Time for 703 models: 00h:00m:01.70s\n",
      "---------------------------------------------------------------------------\n",
      "Total time: 11h:53m:22.62s\n"
     ]
    }
   ],
   "source": [
    "start = time.time()\n",
    "\n",
    "# Define parameters for ARIMA model\n",
    "input_len = 720     # (30 days of data)\n",
    "n_models = 37        # Number of models trained for each column\n",
    "counter = 0         \n",
    "\n",
    "# List to collect metrics and predictions\n",
    "rows_list = []\n",
    "\n",
    "# Loop over each country\n",
    "for country in ['DE', 'GB', 'ES', 'FR', 'IT']:\n",
    "    \n",
    "    # Loop over each column for the country\n",
    "    for col in [c for c in train.columns if c.startswith(country)]:\n",
    "        \n",
    "        # Determine seasonal parameters based on column content\n",
    "        if any(prefix in col for prefix in ['load', 'solar']):\n",
    "            seasonal = True\n",
    "            m = 24\n",
    "        elif any(prefix in col for prefix in ['wind']):\n",
    "            seasonal = False\n",
    "            m = 1\n",
    "\n",
    "        print(f\"Processing column: '{col}'\")\n",
    "\n",
    "        # Choose the last `input_len` hours of validation data for training\n",
    "        tr_data = vali.iloc[-input_len:][col]\n",
    "\n",
    "        # Loop over each n_model, predicting 24, 96, 168 from one ARIMA model\n",
    "        for i in range(n_models):\n",
    "            idx_start = i * 168  # Shift by 168 for each n_model\n",
    "            idx_end = (i + 1) * 168\n",
    "\n",
    "            # Select the segment to forecast from the test set (always 168 hours per model iteration)\n",
    "            ts_data = test.iloc[idx_start:idx_end][col]\n",
    "            int_start = time.time()\n",
    "\n",
    "            # Fit the ARIMA model once for this column and segment\n",
    "            model = auto_arima(tr_data, stepwise=True, seasonal=seasonal, m=m, maxiter=10)\n",
    "            print(f\"Best ARIMA parameters: {model.order} {model.seasonal_order}\")\n",
    "\n",
    "            #rows_list = []\n",
    "\n",
    "            # Forecast for multiple prediction lengths (24, 96, 168) using the fitted model\n",
    "            for pred_len in [24, 96, 168]:\n",
    "                \n",
    "                # Extract true values for the current pred_len from the first `pred_len` hours within the 168-hour window\n",
    "                true_values = test.iloc[idx_start:idx_start + pred_len][col]\n",
    "\n",
    "                # Forecast `pred_len` hours using the model\n",
    "                forecasts, confidence = model.predict(n_periods=pred_len, return_conf_int=True)\n",
    "\n",
    "                # Calculate metrics\n",
    "                mae = mean_absolute_error(true_values, forecasts)\n",
    "                mse = mean_squared_error(true_values, forecasts)\n",
    "                rmse = np.sqrt(mse)\n",
    "\n",
    "                print(f\"Prediction length: {pred_len}, MSE: {mse:.2f}, RMSE: {rmse:.2f}, MAE: {mae:.2f}\")\n",
    "\n",
    "                # Rename the column based on the country for future processing\n",
    "                if country == 'GB':\n",
    "                    new_col = rename_col_dict.get(col.split('_', 2)[-1], col)\n",
    "                else:\n",
    "                    new_col = rename_col_dict.get(col.split('_', 1)[-1], col)\n",
    "\n",
    "                # Store metrics and predictions\n",
    "                rows_list.append({\n",
    "                    \"N_model\": i+1,\n",
    "                    \"Country\": country,\n",
    "                    \"Pred_len\": pred_len,\n",
    "                    \"Column\": new_col,\n",
    "                    \"MSE\": mse,\n",
    "                    \"RMSE\": rmse,\n",
    "                    \"MAE\": mae\n",
    "                })\n",
    "\n",
    "            counter += 1\n",
    "\n",
    "            # Append the last actual data to the training data\n",
    "            tr_data = pd.concat([tr_data, ts_data], axis=0)\n",
    "\n",
    "            # Limit training data to the last `input_len` hours for the next iteration\n",
    "            tr_data = tr_data[-input_len:]\n",
    "\n",
    "            # End the timer for this iteration\n",
    "            int_end = time.time()\n",
    "            hours_int, mins, secs = running_time(int_start, int_end)\n",
    "            print(f\"Completed forecasts for column: '{col}', n_model: {i+1}\")\n",
    "            print(f\"Time for {counter} models: {hours_int:02}h:{mins:02}m:{secs:05.2f}s\")\n",
    "            print('-' * 75)\n",
    "\n",
    "end = time.time()\n",
    "hours, minutes, seconds = running_time(start, end)\n",
    "print(\"Total time:\", \"{:0>2}h:{:0>2}m:{:05.2f}s\".format(hours, minutes, seconds))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>MSE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th>Pred_len</th>\n",
       "      <th>Column</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"15\" valign=\"top\">DE</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0088</td>\n",
       "      <td>0.0831</td>\n",
       "      <td>0.0693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0095</td>\n",
       "      <td>0.0784</td>\n",
       "      <td>0.0558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0157</td>\n",
       "      <td>0.1040</td>\n",
       "      <td>0.0901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.0556</td>\n",
       "      <td>0.1948</td>\n",
       "      <td>0.1677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0135</td>\n",
       "      <td>0.0973</td>\n",
       "      <td>0.0830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0291</td>\n",
       "      <td>0.1497</td>\n",
       "      <td>0.1256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0200</td>\n",
       "      <td>0.1204</td>\n",
       "      <td>0.0845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0498</td>\n",
       "      <td>0.1944</td>\n",
       "      <td>0.1610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.1557</td>\n",
       "      <td>0.3721</td>\n",
       "      <td>0.3076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0416</td>\n",
       "      <td>0.1774</td>\n",
       "      <td>0.1458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0797</td>\n",
       "      <td>0.2045</td>\n",
       "      <td>0.1669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0248</td>\n",
       "      <td>0.1368</td>\n",
       "      <td>0.0964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0576</td>\n",
       "      <td>0.2126</td>\n",
       "      <td>0.1773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.1658</td>\n",
       "      <td>0.3881</td>\n",
       "      <td>0.3214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0498</td>\n",
       "      <td>0.1973</td>\n",
       "      <td>0.1638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">ES</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0030</td>\n",
       "      <td>0.0487</td>\n",
       "      <td>0.0430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0161</td>\n",
       "      <td>0.1021</td>\n",
       "      <td>0.0726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0243</td>\n",
       "      <td>0.1395</td>\n",
       "      <td>0.1211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0084</td>\n",
       "      <td>0.0780</td>\n",
       "      <td>0.0661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0249</td>\n",
       "      <td>0.1390</td>\n",
       "      <td>0.0916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0501</td>\n",
       "      <td>0.2082</td>\n",
       "      <td>0.1789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0257</td>\n",
       "      <td>0.1394</td>\n",
       "      <td>0.1090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0384</td>\n",
       "      <td>0.1713</td>\n",
       "      <td>0.1123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0540</td>\n",
       "      <td>0.2177</td>\n",
       "      <td>0.1862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">FR</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0014</td>\n",
       "      <td>0.0307</td>\n",
       "      <td>0.0259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0069</td>\n",
       "      <td>0.0701</td>\n",
       "      <td>0.0449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0238</td>\n",
       "      <td>0.1272</td>\n",
       "      <td>0.1109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0044</td>\n",
       "      <td>0.0555</td>\n",
       "      <td>0.0467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0121</td>\n",
       "      <td>0.1027</td>\n",
       "      <td>0.0624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0612</td>\n",
       "      <td>0.2181</td>\n",
       "      <td>0.1850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0117</td>\n",
       "      <td>0.0933</td>\n",
       "      <td>0.0748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0166</td>\n",
       "      <td>0.1181</td>\n",
       "      <td>0.0719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0696</td>\n",
       "      <td>0.2353</td>\n",
       "      <td>0.1983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"15\" valign=\"top\">GB</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0042</td>\n",
       "      <td>0.0600</td>\n",
       "      <td>0.0517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0137</td>\n",
       "      <td>0.0971</td>\n",
       "      <td>0.0699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0450</td>\n",
       "      <td>0.1746</td>\n",
       "      <td>0.1491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.0809</td>\n",
       "      <td>0.2446</td>\n",
       "      <td>0.2047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0320</td>\n",
       "      <td>0.1442</td>\n",
       "      <td>0.1254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.0937</td>\n",
       "      <td>0.0810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0233</td>\n",
       "      <td>0.1328</td>\n",
       "      <td>0.0945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0862</td>\n",
       "      <td>0.2687</td>\n",
       "      <td>0.2245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.1519</td>\n",
       "      <td>0.3627</td>\n",
       "      <td>0.2998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0568</td>\n",
       "      <td>0.2185</td>\n",
       "      <td>0.1845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0197</td>\n",
       "      <td>0.1149</td>\n",
       "      <td>0.0967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0265</td>\n",
       "      <td>0.1462</td>\n",
       "      <td>0.1038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind</th>\n",
       "      <td>0.0849</td>\n",
       "      <td>0.2766</td>\n",
       "      <td>0.2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_offshore</th>\n",
       "      <td>0.1612</td>\n",
       "      <td>0.3787</td>\n",
       "      <td>0.3096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.2171</td>\n",
       "      <td>0.1781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">IT</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">24</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0035</td>\n",
       "      <td>0.0508</td>\n",
       "      <td>0.0432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0046</td>\n",
       "      <td>0.0560</td>\n",
       "      <td>0.0344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0326</td>\n",
       "      <td>0.1525</td>\n",
       "      <td>0.1317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">96</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0083</td>\n",
       "      <td>0.0802</td>\n",
       "      <td>0.0668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0080</td>\n",
       "      <td>0.0790</td>\n",
       "      <td>0.0462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0645</td>\n",
       "      <td>0.2345</td>\n",
       "      <td>0.1970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">168</th>\n",
       "      <th>load</th>\n",
       "      <td>0.0252</td>\n",
       "      <td>0.1462</td>\n",
       "      <td>0.1100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>solar</th>\n",
       "      <td>0.0104</td>\n",
       "      <td>0.0910</td>\n",
       "      <td>0.0535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_onshore</th>\n",
       "      <td>0.0787</td>\n",
       "      <td>0.2600</td>\n",
       "      <td>0.2193</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   MSE    RMSE     MAE\n",
       "Country Pred_len Column                               \n",
       "DE      24       load           0.0088  0.0831  0.0693\n",
       "                 solar          0.0095  0.0784  0.0558\n",
       "                 wind           0.0157  0.1040  0.0901\n",
       "                 wind_offshore  0.0556  0.1948  0.1677\n",
       "                 wind_onshore   0.0135  0.0973  0.0830\n",
       "        96       load           0.0291  0.1497  0.1256\n",
       "                 solar          0.0200  0.1204  0.0845\n",
       "                 wind           0.0498  0.1944  0.1610\n",
       "                 wind_offshore  0.1557  0.3721  0.3076\n",
       "                 wind_onshore   0.0416  0.1774  0.1458\n",
       "        168      load           0.0797  0.2045  0.1669\n",
       "                 solar          0.0248  0.1368  0.0964\n",
       "                 wind           0.0576  0.2126  0.1773\n",
       "                 wind_offshore  0.1658  0.3881  0.3214\n",
       "                 wind_onshore   0.0498  0.1973  0.1638\n",
       "ES      24       load           0.0030  0.0487  0.0430\n",
       "                 solar          0.0161  0.1021  0.0726\n",
       "                 wind_onshore   0.0243  0.1395  0.1211\n",
       "        96       load           0.0084  0.0780  0.0661\n",
       "                 solar          0.0249  0.1390  0.0916\n",
       "                 wind_onshore   0.0501  0.2082  0.1789\n",
       "        168      load           0.0257  0.1394  0.1090\n",
       "                 solar          0.0384  0.1713  0.1123\n",
       "                 wind_onshore   0.0540  0.2177  0.1862\n",
       "FR      24       load           0.0014  0.0307  0.0259\n",
       "                 solar          0.0069  0.0701  0.0449\n",
       "                 wind_onshore   0.0238  0.1272  0.1109\n",
       "        96       load           0.0044  0.0555  0.0467\n",
       "                 solar          0.0121  0.1027  0.0624\n",
       "                 wind_onshore   0.0612  0.2181  0.1850\n",
       "        168      load           0.0117  0.0933  0.0748\n",
       "                 solar          0.0166  0.1181  0.0719\n",
       "                 wind_onshore   0.0696  0.2353  0.1983\n",
       "GB      24       load           0.0042  0.0600  0.0517\n",
       "                 solar          0.0137  0.0971  0.0699\n",
       "                 wind           0.0450  0.1746  0.1491\n",
       "                 wind_offshore  0.0809  0.2446  0.2047\n",
       "                 wind_onshore   0.0320  0.1442  0.1254\n",
       "        96       load           0.0100  0.0937  0.0810\n",
       "                 solar          0.0233  0.1328  0.0945\n",
       "                 wind           0.0862  0.2687  0.2245\n",
       "                 wind_offshore  0.1519  0.3627  0.2998\n",
       "                 wind_onshore   0.0568  0.2185  0.1845\n",
       "        168      load           0.0197  0.1149  0.0967\n",
       "                 solar          0.0265  0.1462  0.1038\n",
       "                 wind           0.0849  0.2766  0.2260\n",
       "                 wind_offshore  0.1612  0.3787  0.3096\n",
       "                 wind_onshore   0.0522  0.2171  0.1781\n",
       "IT      24       load           0.0035  0.0508  0.0432\n",
       "                 solar          0.0046  0.0560  0.0344\n",
       "                 wind_onshore   0.0326  0.1525  0.1317\n",
       "        96       load           0.0083  0.0802  0.0668\n",
       "                 solar          0.0080  0.0790  0.0462\n",
       "                 wind_onshore   0.0645  0.2345  0.1970\n",
       "        168      load           0.0252  0.1462  0.1100\n",
       "                 solar          0.0104  0.0910  0.0535\n",
       "                 wind_onshore   0.0787  0.2600  0.2193"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# By column\n",
    "arima_df = pd.DataFrame(rows_list, columns=['N_model', 'Country', 'Pred_len', 'Column', 'MSE', 'RMSE', 'MAE'])\n",
    "arima_df = arima_df.groupby(['Country', 'Pred_len', 'Column']).mean().drop('N_model', axis=1)\n",
    "arima_df.round(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Model</th>\n",
       "      <th colspan=\"3\" halign=\"left\">(S)ARIMA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Metrics</th>\n",
       "      <th>MSE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th>Pred_len</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">DE</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0206</td>\n",
       "      <td>0.1115</td>\n",
       "      <td>0.0932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0593</td>\n",
       "      <td>0.2028</td>\n",
       "      <td>0.1649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0755</td>\n",
       "      <td>0.2279</td>\n",
       "      <td>0.1851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">ES</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0145</td>\n",
       "      <td>0.0968</td>\n",
       "      <td>0.0789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0278</td>\n",
       "      <td>0.1417</td>\n",
       "      <td>0.1122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0394</td>\n",
       "      <td>0.1761</td>\n",
       "      <td>0.1359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">FR</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0107</td>\n",
       "      <td>0.0760</td>\n",
       "      <td>0.0606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0259</td>\n",
       "      <td>0.1254</td>\n",
       "      <td>0.0981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0326</td>\n",
       "      <td>0.1489</td>\n",
       "      <td>0.1150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">GB</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0352</td>\n",
       "      <td>0.1441</td>\n",
       "      <td>0.1201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0656</td>\n",
       "      <td>0.2153</td>\n",
       "      <td>0.1769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0689</td>\n",
       "      <td>0.2267</td>\n",
       "      <td>0.1828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">IT</th>\n",
       "      <th>24</th>\n",
       "      <td>0.0136</td>\n",
       "      <td>0.0864</td>\n",
       "      <td>0.0698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0269</td>\n",
       "      <td>0.1312</td>\n",
       "      <td>0.1033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.0381</td>\n",
       "      <td>0.1657</td>\n",
       "      <td>0.1276</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Model            (S)ARIMA                \n",
       "Metrics               MSE    RMSE     MAE\n",
       "Country Pred_len                         \n",
       "DE      24         0.0206  0.1115  0.0932\n",
       "        96         0.0593  0.2028  0.1649\n",
       "        168        0.0755  0.2279  0.1851\n",
       "ES      24         0.0145  0.0968  0.0789\n",
       "        96         0.0278  0.1417  0.1122\n",
       "        168        0.0394  0.1761  0.1359\n",
       "FR      24         0.0107  0.0760  0.0606\n",
       "        96         0.0259  0.1254  0.0981\n",
       "        168        0.0326  0.1489  0.1150\n",
       "GB      24         0.0352  0.1441  0.1201\n",
       "        96         0.0656  0.2153  0.1769\n",
       "        168        0.0689  0.2267  0.1828\n",
       "IT      24         0.0136  0.0864  0.0698\n",
       "        96         0.0269  0.1312  0.1033\n",
       "        168        0.0381  0.1657  0.1276"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# By country\n",
    "arima_df_country = arima_df.groupby(['Country', 'Pred_len']).mean()\n",
    "arima_df_country.columns = pd.MultiIndex.from_product([['(S)ARIMA'], ['MSE', 'RMSE', 'MAE']], names=['Model', 'Metrics'])\n",
    "arima_df_country.round(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Store dataframes\n",
    "arima_df.to_csv('results/arima/metrics_arima_columns_minmax.csv')\n",
    "arima_df_country.to_csv('results/arima/metrics_arima_countries_minmax.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To read data\n",
    "# arima_df = pd.read_csv('results/arima/metrics_arima_columns_minmax.csv', header=[0], index_col=[0, 1, 2]).round(4)\n",
    "# arima_df_country = pd.read_csv('results/arima/metrics_arima_countries_minmax.csv', header=[0, 1], index_col=[0, 1]).round(4)"
   ]
  }
 ],
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