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Load Forecasting

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Showing 1–25 of 235 papers

TitleStatusHype
MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting—0
Variational Autoencoder-Based Approach to Latent Feature Analysis on Efficient Representation of Power Load Monitoring Data—0
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation—0
Large Language Model-Empowered Interactive Load Forecasting—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models—0
Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation—0
Mixer-Informer-Based Two-Stage Transfer Learning for Long-Sequence Load Forecasting in Newly Constructed Electric Vehicle Charging Stations—0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
Probabilistic Net Load Forecasting for High-Penetration RES Grids Utilizing Enhanced Conditional Diffusion Model—0
Short-Term Load Forecasting for AI-Data Center—0
Diffusion Model Based Probabilistic Day-ahead Load Forecasting—0
An Ensemble Framework for Probabilistic Short-Term Load Forecasting Based on BiTCN and Deep Attention NetworksCode0
Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning—0
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning—0
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal FeaturesCode1
Multi-task Online Learning for Probabilistic Load Forecasting—0
Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities—0
HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting—0
Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers—0
Load Forecasting for Households and Energy Communities: Are Deep Learning Models Worth the Effort?Code1
From Dense to Sparse: Event Response for Enhanced Residential Load ForecastingCode0
Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors—0
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series ForecastingCode2
Short-Term Forecasting of Thermostatic and Residential Loads Using Long Short-Term Memory Recurrent Neural Networks—0
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