Here, the most popular Electric Load Forecasting datasets are collected centrally. Feel free to support this work. 🔥
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Apr 27, 2026 - Python
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load-forecasting
Here are 40 public repositories matching this topic...
This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
end-to-end-learning machine-unlearning load-forecasting influence-function predict-and-optimize objective-based-load-forecasting
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Mar 14, 2024 - Python
Grid-Aware STGNN for Multi-horizon Power Load Forecasting
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Sep 22, 2025 - Python
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Dec 13, 2022 - Python
This is the official repo for the paper E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning, to be appeared in AAAI-24.
end-to-end-learning load-forecasting economic-dispatch power-system-operations objective-based-load-forecasting task-aware value-based-forecast
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Mar 12, 2024 - Python
Official repository for the ParDeeB framework and the Shahrekord Energy Dataset: A high-resolution 4-year hourly benchmark (30,000+ samples) featuring 23 meteorological and temporal determinants for short-term load forecasting.
electricity-demand-forecasting load-forecasting time-series-data electricity-demand energy-prediction lstm-gru energy-dataset load-forecasting-dataset
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May 4, 2026 - Python
Implementation of two different models (TF2/Keras) from literature and a custom model for day-ahead load forecasting (short term load forecasting) on two different datasets.
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Nov 8, 2022 - Python
AI electricity-demand forecasting for India's power grid, state by state — 5-min/hourly/daily, champion/challenger ML (LightGBM/XGBoost + classical), leak-free vs persistence. Began with Delhi; now mapping all 36 states/UTs (Delhi + Karnataka modelled). FastAPI + Next.js, $0 deploy.
python data-science machine-learning deep-learning nextjs pytorch xgboost lightgbm recharts india delhi time-series-forecasting mlops load-forecasting fastapi electricity-demand framer-motion power-grid sldc supabase
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Nov 8, 2026 - Python
Province-level day-ahead load forecasting with LightGBM, TFT, Chronos-2, and heterogeneous ensemble learning.
time-series lightgbm ensemble-learning chronos energy-forecasting load-forecasting temporal-fusion-transformer electricity-load foundation-model day-ahead-forecasting
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Oct 10, 2026 - Python
Companion code for the paper "Scalable Load Models for Dynamic Wireless Charging of Electric Vehicles in Power Systems." The project uses Caltrans PeMS data to calibrate a Cell Transmission Model (CTM) for freeway traffic flow simulation, which feeds a projection of the energy demand from dynamic wireless charging (DWC) of electric vehicles (EVs).
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Sep 25, 2026 - Python
Hourly electricity load forecasting (AEP) with XGBoost - calendar + lag features, baseline comparison, recursive 24h forecast, and a Streamlit demo.
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Jul 28, 2026 - Python
Daily scoring of every U.S. balancing authority's own day-ahead load forecast, from EIA-930 public data. Launching October 2026.
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Nov 7, 2026 - Python
Hourly electricity load forecasting across 1,449 buildings and 20.2M meter readings, backtested the way a forecaster is actually used.
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Aug 20, 2026 - Python
Electricity-demand forecasting and energy management project combining electrical engineering, Python, and machine learning.
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Sep 7, 2026 - Python
Do zero-shot time-series foundation models beat a tuned local model for 24h-ahead Indian electricity demand? TimesFM 2.5 vs LightGBM vs seasonal naive, with rolling-origin evaluation, Diebold-Mariano significance tests and full distributional scoring.
python benchmark machine-learning time-series pytorch forecasting lightgbm india uncertainty-quantification gradient-boosting zero-shot-learning smart-grid time-series-forecasting probabilistic-forecasting energy-forecasting load-forecasting electricity-demand streamlit foundation-models timesfm
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Aug 15, 2026 - Python
Mining 157 years of El Nino data to see how super El Ninos change US winter power demand and prices, with a backtested outlook for the 2026-27 winter
python data-mining energy noaa climate-data fp-growth eia dynamic-time-warping enso probabilistic-forecasting load-forecasting electricity-demand streamlit duckdb el-nino teleconnections
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Oct 6, 2026 - Python
Independent check of day-ahead load forecasts: error, bias by hour/season, and skill vs naive baselines with bootstrap confidence intervals. Runs locally. Example on ENTSO-E Bulgaria data
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Oct 28, 2026 - Python
Public model cards (Voltcrown v7.9 + lineage) and a dependency-light forecasting toolkit for the ENTSO-E load-forecast challenge — with OpenSSF Scorecard hardening.
energy time-series forecasting lightgbm electricity load-forecasting model-card entsoe openssf-scorecard eu-ai-act
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Sep 21, 2026 - Python
Professional energy data science portfolio — wildfire risk modeling, grid investment optimization, load forecasting, and energy economics research tools built for utility infrastructure analytics.
python load-forecasting streamlit energy-economics investment-optimization utility-infrastructure wildfire-risk energy-data-science california-energy
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Jun 8, 2026 - Python
Production-grade short-term energy load forecasting with 24-horizon direct models, weather coupling, and peak demand alerts.
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Sep 1, 2026 - Python
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