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Load Forecasting

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Showing 101–150 of 235 papers

TitleStatusHype
Learning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction—0
Learning Sparse Privacy-Preserving Representations for Smart Meters Data—0
Leveraging Predictions in Power System Frequency Control: an Adaptive Approach—0
LfEdNet: A Task-based Day-ahead Load Forecasting Model for Stochastic Economic Dispatch—0
A General Framework for Load Forecasting based on Pre-trained Large Language Model—0
LoadCNN: A Low Training Cost Deep Learning Model for Day-Ahead Individual Residential Load Forecasting—0
Load Data Valuation in Multi-Energy Systems: An End-to-End Approach—0
Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models—0
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network—0
LSTM-based Load Forecasting Robustness Against Noise Injection Attack in Microgrid—0
LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids—0
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids—0
Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization—0
MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting—0
Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting—0
Mixer-Informer-Based Two-Stage Transfer Learning for Long-Sequence Load Forecasting in Newly Constructed Electric Vehicle Charging Stations—0
Multi Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model—0
Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations—0
Multi-task Online Learning for Probabilistic Load Forecasting—0
Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting—0
Multivariate Ensemble Forecast Framework for Demand Prediction of Anomalous Days—0
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?—0
Operational thermal load forecasting in district heating networks using machine learning and expert advice—0
Optimization-Based Ramping Reserve Allocation of BESS for AGC Enhancement—0
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting—0
Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study—0
Peak Forecasting for Battery-based Energy Optimizations in Campus Microgrids—0
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach—0
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation—0
Probabilistic electric load forecasting through Bayesian Mixture Density Networks—0
Probabilistic Forecast-based Portfolio Optimization of Electricity Demand at Low Aggregation Levels—0
Probabilistic Forecasting Methods for System-Level Electricity Load Forecasting—0
Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas—0
Probabilistic Load Forecasting via Point Forecast Feature Integration—0
Probabilistic load forecasting with Reservoir Computing—0
Probabilistic Net Load Forecasting for High-Penetration RES Grids Utilizing Enhanced Conditional Diffusion Model—0
Quantile Regression for Qualifying Match of GEFCom2017 Probabilistic Load Forecasting—0
Random vector functional link neural network based ensemble deep learning for short-term load forecasting—0
Recurrent Neural Based Electricity Load Forecasting of G-20 Members—0
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study—0
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting—0
Research on short-term load forecasting model based on VMD and IPSO-ELM—0
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events—0
Scenario Forecasting of Residential Load Profiles—0
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting—0
Secure short-term load forecasting for smart grids with transformer-based federated learning—0
Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM—0
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey—0
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources—0
Short-term Electric Load Forecasting Using TensorFlow and Deep Auto-Encoders—0
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