Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.
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Updated
Sep 18, 2026 - Python
Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.
A curated list of awesome energy forecasting resources such as, code libraries, datasets, courses, tutorials, research papers, competitions and communities.
This study considers the prediction and forecasting of solar and wind power generation on a country-wide basis for the Greek energy grid.
Comparison of LSTM models and FCNN on Energy forecasting project using ASHRAE's data base for the Great Energy Predictor III competition on Kaggle.
Multi-model ML forecasting for Home Assistant — benchmark, promote, and publish calibrated forecasts as HA sensors. Pi 5 ready.
A benchmark for energy forecasting with PatchTST, Autoformer, Informer, and classical baselines using the ETT Dataset
Kernel quantile regression
Zero-shot multivariate power grid load, market price and renewable energy forecasting for the Polish Power System (PSE) using Google TimesFM and weather covariates.
End-to-end energy consumption forecasting for Portugal — XGBoost + conformal prediction (MAPE 1.44%), FastAPI, React/Vite, Prometheus metrics, deployed on HF Spaces.
Home Assistant integration for Energy Price Forecast – electricity price forecasts for European bidding zones.
AI-powered monitoring, forecasting, simulation and decision support for hybrid solar and wind energy systems.
⚡ Short-term load forecasting using machine learning on the UK-DALE dataset. Predicts household power usage with scalable ML models.
Time-series forecasting of hourly energy consumption using Long Short-Term Memory (LSTM) neural networks. This project explores deep learning models for energy forecasting and compares their performance to traditional statistical models like ARIMA and SARIMA. Part of my transition into computational energy systems research.
⚡ Production-grade demand forecasting & live electricity dashboard: Prophet + LightGBM + SARIMA ensemble (10% MAPE). 36-feature engineering, TimescaleDB, FastAPI, Docker-ready. Real-time Brazilian electricity monitoring with HuggingFace data, Chart.js streaming, smart API/HuggingFace fallback.
⚡ AI-Powered Energy Consumption Forecasting System | Predicts electricity usage using MLP Neural Network | Real-time Streamlit Dashboard | Flask REST API | Supports Smart Cities & Green Energy Goals
Overview of how the market operates and EDA of some of the variables in it
Solar power production calculator from forecast data.
This repository is about Hybrid Energy Forecasting and Trading Competition results performed by NICE_forecast.
End-to-end MLOps system for probabilistic electricity demand forecasting across 5 Moroccan cities — LightGBM · Airflow · MLflow · FastAPI · Docker
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