Python library for modeling, simulating, and analyzing district heating networks
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Updated
Jun 9, 2025 - Python
Python library for modeling, simulating, and analyzing district heating networks
Python translations of the ArkInvest solar battery bitcoin model.
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.
Solar Panel Fault Detection Using Deep Learning: A Computer Vision Approach This project presents an automated system for detecting and classifying faults in solar panels using state-of-the-art deep learning and computer vision techniques. Leveraging an EfficientNetB0-based architecture, the model accurately identifies six categories of faults: bi
Reinforcement learning system that optimizes energy distribution, predicts demand patterns, and prevents blackouts in smart power grids.
This repository contains source code of Cold Electricity Open Project official website. Welcome to the Cold Electricity Open Project, an open project dedicated to promoting cold electricity technology and its applications.
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
Universe-E — Universal Energy System for Meaningful Transitions A dormant-by-default, significance-triggered energy delivery protocol that powers computation and actuation only upon meaningful transitions within the LPT Universe.
Governance-first AI engineering for energy systems, built with reproducible workflows and clean project architecture.
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.
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