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Load Forecasting

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Showing 26–50 of 235 papers

TitleStatusHype
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
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
From Dense to Sparse: Event Response for Enhanced Residential Load ForecastingCode0
Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors—0
Short-Term Forecasting of Thermostatic and Residential Loads Using Long Short-Term Memory Recurrent Neural Networks—0
Generative Modeling and Data Augmentation for Power System Production SimulationCode0
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting—0
Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting—0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids—0
Zero-Shot Load Forecasting with Large Language Models—0
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach—0
Distributed Stochastic ACOPF Based on Consensus ADMM and Scenario Reduction—0
Just In Time TransformersCode0
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting—0
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