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Load Forecasting

Papers

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Showing 51–100 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
Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations—0
Block-FeDL: Electric Vehicle Charging Load Forecasting using Federated Learning and Blockchain—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
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach—0
Some variation of COBRA in sequential learning setup—0
TimeGPT in Load Forecasting: A Large Time Series Model Perspective—0
Exploring Lightweight Federated Learning for Distributed Load Forecasting—0
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers—0
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction—0
Adaptive time series forecasting with markovian variance switching—0
AI-Powered Predictions for Electricity Load in Prosumer Communities—0
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition—0
Privacy-Preserving Distributed Learning for Residential Short-Term Load ForecastingCode0
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end LearningCode0
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids—0
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation—0
Load Data Valuation in Multi-Energy Systems: An End-to-End Approach—0
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting—0
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System—0
Secure short-term load forecasting for smart grids with transformer-based federated learning—0
Utilizing Language Models for Energy Load ForecastingCode0
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time seriesCode0
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting—0
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting—0
Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas—0
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients—0
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learningCode0
Short-Term Load Forecasting Using A Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network—0
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