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
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使用bp神经网络预测电力负荷,使用小型数据集,通过一个简单的例子。Using BPNN to predict power load, using small data set, a simple example.
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May 4, 2020 - MATLAB
The work develops a multi-step time series load forecasting model that predicts daily power consumption for the upcoming week based on historic daily data of consumption at a university campus.
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Jul 28, 2024 - Jupyter Notebook
Project to explore & optimize dispatch of a commercial-scale battery storage system
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Oct 9, 2019 - Jupyter Notebook
Load Forecasting with MATLAB (ANN)
neural-network matlab forecasting artificial-neural-networks load ann matlab-toolbox matlab-gui load-forecasting
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Sep 9, 2019 - MATLAB
Source code for our ICCEP paper "Secure short-term load forecasting for smart grids with transformer-based federated learning".
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Nov 14, 2023 - PureBasic
A Moroccan Buildings’ Electricity Consumption Dataset. MORED is made available by TICLab of the International University of Rabat (UIR), and the data collection was carried out as part of PVBuild research project, coordinated by Prof. Mounir Ghogho and funded by the United States Agency for International Development (USAID).
dataset nilm energy-disaggregation electricity-consumption consumption-data load-forecasting load-disaggregation
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Dec 18, 2025
load point forecast
deep-neural-networks transformer lstm gru cnn-model mlp-networks seq2seq-attn load-forecasting cnn-lstm-models
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Jan 24, 2022 - Jupyter Notebook
使用灰色系统理论做负荷预测。Using Grey System Theory to Make Load Forecasting
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Apr 25, 2020 - MATLAB
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
Enhanced spatio-temporal electric load forecasts with less data using active deep learning
machine-learning deep-learning remote-sensing sampling active-learning data-selection spatio-temporal-prediction load-forecasting
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Feb 7, 2023 - Jupyter Notebook
Contains the code for the paper "Multi-Horizon Short-Term Load Forecasting Using Hybrid of LSTM and Modified Split Convolution"
deep-learning cnn lstm hybrid electrical-engineering smart-grid time-series-forecasting load-forecasting multi-horizon-forecasting electrical-load-consumption
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Oct 28, 2023 - Jupyter Notebook
T-DPnet-Transformer-based-deep-Probabilistic-network-for-load-forecasting
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Dec 16, 2022 - Jupyter Notebook
Source code for our preprint paper "Advancing Accuracy in Load Forecasting using Mixture-ofExperts and Federated Learning".
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Jan 26, 2024
Grid-Aware STGNN for Multi-horizon Power Load Forecasting
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Sep 22, 2025 - Python
Research done by me and @MennaNawar on load forecasting using the ASHRAE building dataset provided by kaggle.
machine-learning deep-neural-networks deep-learning transformer sequence-to-sequence transfer-learning sequential-models load-forecasting building-to-building-transfer-learning
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Jan 29, 2023 - Jupyter Notebook
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Dec 13, 2022 - Python
A black box data driven model that considers the characterization and prediction of heat load in buildings connected to District Heating by using smart heat meters
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Mar 4, 2023 - Jupyter Notebook
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
Project uses machine learning to predict energy load in Spanish cities based on weather data, aiming to optimize grid management and renewable energy integration. It tackles challenges in data cleaning, model selection, and feature engineering, demonstrating ML's superiority in handling complex relationships and improving forecasting accuracy
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Aug 29, 2024 - Jupyter Notebook
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