SOTAVerified

Load Forecasting

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 235 papers

TitleStatusHype
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series ForecastingCode2
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing FlowsCode2
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal FeaturesCode1
Load Forecasting for Households and Energy Communities: Are Deep Learning Models Worth the Effort?Code1
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load ForecastingCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Task-Aware Machine Unlearning and Its Application in Load ForecastingCode1
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolutionCode1
Benchmarks and Custom Package for Energy ForecastingCode1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion ModelCode1
Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTMCode1
ES-dRNN with Dynamic Attention for Short-Term Load ForecastingCode1
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical ChallengeCode1
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load ForecastingCode1
Review of Low Voltage Load Forecasting: Methods, Applications, and RecommendationsCode1
Probabilistic Load Forecasting Based on Adaptive Online LearningCode1
Short-Term Load Forecasting using Bi-directional Sequential Models and Feature Engineering for Small DatasetsCode1
Deep Adaptive Input Normalization for Time Series ForecastingCode1
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
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
Show:102550
← PrevPage 1 of 5Next →

No leaderboard results yet.