Python translations of the ArkInvest solar battery bitcoin model.
-
Updated
Jun 21, 2021 - Jupyter Notebook
Python translations of the ArkInvest solar battery bitcoin model.
This repository uses deep learning and machine learning for time series prediction of electricity demand and energy trends. Includes data, maps, and analysis.
DAEG is about Decentralized and Autonomous Energy Grid project to provide a framework to manage clusters of DC microgrid.
Introducing GardenPi, an automatic garden watering system with temperature/humidity sensors, camera, motion detection, and soil moisture sensor. It efficiently draws water from a tank and distributes it through tubing. Powered by Raspberry Pi Zero, it features an e-paper screen and solar panel for eco-friendly operation.
ENERConnect.EU [Independent Project]: European Network for Energy Research platform connecting researchers, institutions, and stakeholders across Europe to accelerate energy transition through open collaboration. A community-driven, open-source platform connecting researchers and stakeholders. Not affiliated with any official organizations.
This project demonstrates a complete pipeline for building a machine learning model using XGBoost on sustainable energy data, integrated with a FastAPI-based REST API. The application allows users to upload data, train the model, and make predictions via API endpoints. Docker and PostgreSQL are used for containerization and data management.
Lesson plans, training manuals, e-learning modules, presentation slides, and infographics on topics related to CLENT Africa’s mission and focus areas.
Powering the Future in a Sustainable way: Analysis and Forecasting of Lithium exports for Australia and Chile using Time series Analysis and Business Market Models
Add a description, image, and links to the sustainable-energy topic page so that developers can more easily learn about it.
To associate your repository with the sustainable-energy topic, visit your repo's landing page and select "manage topics."