Here, the most popular Electric Load Forecasting datasets are collected centrally. Feel free to support this work. 🔥
☆34Apr 27, 2026Updated 2 months ago
Alternatives and similar repositories for Publicly-Available-Datasets-For-Electric-Load-Forecasting
Users that are interested in Publicly-Available-Datasets-For-Electric-Load-Forecasting are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A comprehensive AI & ML project portfolio from the University of Texas at Austin PG Program, demonstrating real-world data science and ma…☆17Jan 25, 2026Updated 5 months ago
- ☆17Jan 7, 2025Updated last year
- Data and code for our IEEE Power Engineering Letters paper "Data-Driven Dimension Reduction for Industrial Load Modeling Using Inverse Op…☆21Mar 15, 2025Updated last year
- 面向低碳智能电网,基于LSTM-Transformer混合模型和动态反馈-滚动优化机制,提出了一种协同建模框架,该框架提高了电力负荷预测的准确性,同时将负荷预测与最优调度有机结合,优化了电网调度策略,从而降低了运营成本和碳排放☆42Aug 14, 2025Updated 11 months ago
- TimeFlow is a continuous-time time series model that uses implicit neural representations and a latent code adaptation mechanism to impu…☆16Nov 8, 2025Updated 8 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆34Apr 13, 2025Updated last year
- This repository contains data and code related to TSG paper "Production Scheduling Identification: An Inverse Optimization Approach for I…☆16Apr 14, 2025Updated last year
- ☆10Jan 21, 2020Updated 6 years ago
- Source code for our ICCEP paper "Secure short-term load forecasting for smart grids with transformer-based federated learning".☆18Nov 14, 2023Updated 2 years ago
- Material for the DENSYS erasmus mundus summer school on microgrids management☆14May 5, 2026Updated 2 months ago
- 本项目旨在针对园区电力需求数据采用多种方法进行不同尺度的时序预测,并结合实际电费账单给出还原后的电力数据。☆19Jul 18, 2024Updated 2 years ago
- RLC4CLR employs curriculum learning to train a reinforcement learning controller (RLC) for a distribution system critical load restoratio…☆22Jul 3, 2025Updated last year
- Deep learning-based flower classification system using CNN architectures for image recognition and classification. Trained and evaluated …☆19Updated this week
- Python Functions used in the paper: "From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead elec…☆16Feb 10, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- The Rolling Intrinsic Intraday Energy Trading Optimization repository models continuous BESS intraday trading with the means of discretiz…☆21Jun 3, 2025Updated last year
- Open source codes of "Spatio-Temporal Probabilistic Forecasting of Photovoltaic Power Based on Monotone Broad Learning System and Copula …☆16Feb 14, 2022Updated 4 years ago
- MATLAB code for component-informed data-center power-delivery modeling and power-system resonance analysis.☆18Jun 26, 2026Updated 3 weeks ago
- Official code for 'Learning Frequency‑Domain Fusion for Multimodal Remote Sensing Semantic Segmentation'☆25Mar 24, 2026Updated 3 months ago
- Code for "Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity", INFORMS Journal of Comput…☆19Feb 26, 2025Updated last year
- ☆17Feb 2, 2021Updated 5 years ago
- AC Optimal Power Flow (OPF) attempts to determine the setpoints of generators that would minimize the operating cost of a power system wh…☆16May 17, 2026Updated 2 months ago
- Convex Optimization under Uncertainty☆33Mar 31, 2026Updated 3 months ago
- An Open-Source Multi-Market Bidding Framework for Energy Storage Systems including European Day-ahead and Intraday Markets☆21Dec 28, 2025Updated 6 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆21Jan 11, 2024Updated 2 years ago
- Official implements for 'CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting'.☆31Mar 26, 2026Updated 3 months ago
- The tracebase appliance-level power consumption data set☆40Feb 26, 2020Updated 6 years ago
- Code for "FICA: Faster Inner Convex Approximation of Chance Constrained Grid Dispatch with Decision-Coupled Uncertainty" https://arxiv.or…☆21Aug 2, 2025Updated 11 months ago
- Solving Optimal Power Flow with Convex Restriction☆23Mar 30, 2021Updated 5 years ago
- Unified Training of Universal Time Series Forecasting Transformers☆37Jun 4, 2026Updated last month
- ☆26May 29, 2026Updated last month
- This repository contains the code for Physics-Informed Neural Network for DC Optimal Power Flow applications and the worst case guarantee…☆30Sep 2, 2021Updated 4 years ago
- MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations [T-ITS, 2023]☆31Apr 17, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Explore the impacts of 24/7 Carbon-Free Energy PPAs☆37Apr 21, 2026Updated 3 months ago
- The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》☆31Sep 27, 2024Updated last year
- Addressing prediction delays in time series forecasting: A continuous GRU Approach with derivative regularization☆31Sep 13, 2024Updated last year
- ☆34Dec 8, 2022Updated 3 years ago
- EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains al…☆31Dec 6, 2023Updated 2 years ago
- Supplementary material for the paper about experiments from our May 2025 demo☆28Oct 23, 2025Updated 8 months ago
- [ICML'25] Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | 样本级别的自适应多模型集成时间序列预测☆31May 22, 2025Updated last year