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Load Forecasting

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Showing 151–175 of 235 papers

TitleStatusHype
Lasso estimation for GEFCom2014 probabilistic electric load forecasting—0
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
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