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Load Forecasting

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Showing 26–50 of 235 papers

TitleStatusHype
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
Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid—0
Research on short-term load forecasting model based on VMD and IPSO-ELM—0
Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators—0
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru—0
Automated Spatio-Temporal Weather Modeling for Load Forecasting—0
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network—0
Facilitating AI and System Operator Synergy: Active Learning-Enhanced Digital Twin Architecture for Day-Ahead Load Forecasting—0
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey—0
A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model—0
Efficient Unit Commitment Constraint Screening under Uncertainty—0
LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids—0
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models—0
Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models—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
Improve Load Forecasting in Energy Communities through Transfer Learning using Open-Access Synthetic Profiles—0
A General Framework for Load Forecasting based on Pre-trained Large Language Model—0
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