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Load Forecasting

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Showing 76–100 of 235 papers

TitleStatusHype
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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