Python library for modeling, simulating, and analyzing district heating networks
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Nov 1, 2024 - Python
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Python library for modeling, simulating, and analyzing district heating networks
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.
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
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.
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
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