SOTAVerified

Load Forecasting

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 235 papers

TitleStatusHype
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
Stacking for Probabilistic Short-term Load Forecasting—0
Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM—0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach—0
Block-FeDL: Electric Vehicle Charging Load Forecasting using Federated Learning and Blockchain—0
Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations—0
Efficient mid-term forecasting of hourly electricity load using generalized additive modelsCode0
Automated Deep Learning for Load Forecasting—0
Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network—0
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and PredictionCode0
Show:102550
← PrevPage 3 of 10Next →

No leaderboard results yet.