Popular GitHub Repositories for Electricity Bill

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code ?.

A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

Modeling time series of electricity spot prices using Deep Learning.

Forecasting Solar Power: Analysis of using a LSTM Neural Network

A community wiki for all things AI/ML bill of materials (MLBOM, AIBOM) and transparency into AI/ML models.

Efficiently manage Claude AI projects--save half off your API bill with this one weird trick

simona is an agent-based discrete-event power system simulation model developed @ie3-institute

Optimising electricity expenditure in an HVAC system under dynamic electricity pricing scheme and weather conditions using a DDPG model.

This project is the source code of paper "Optimizing bidding strategy in electricity market based on graph convolutional neural network and deep reinforcement learning" in Applied Energy 2025.

Experiments for the Climate Change AI summer school 2023 tutorial on "AI for Monitoring, Reporting, and Verification"

Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners.

This repo features a deep reinforcement learning Home Energy Management System for cost-effective heating. It optimizes energy consumption using advanced algorithms, outperforming an optimal linear programming solution.

Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data

UK Day-ahead Electricity Hourly Prices Predictions - Machine Learning

Learn to optimize machine learning tasks for environmental sustainability. Discover how to use real-time electricity data and low-carbon energy sources for model training and inference, reducing the carbon footprint of your cloud operations.

Deep learning models for short term electric load forecasting

Machine Learning Locational Marginal Price (LMP) forecast of California electricity prices.

time-series forecasting prediction - electricity forecasting