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Load Forecasting

Papers

Showing 51–75 of 235 papers

TitleStatusHype
Utilizing Language Models for Energy Load ForecastingCode0
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)—0
Appliance Level Short-term Load Forecasting via Recurrent Neural Network—0
A Global Modeling Approach for Load Forecasting in Distribution Networks—0
Data Selection for Short Term load forecasting—0
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting—0
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks—0
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain—0
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids—0
Deep-Learning-Based, Multi-Timescale Load Forecasting in Buildings: Opportunities and Challenges from Research to Deployment—0
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey—0
A generalised multi-factor deep learning electricity load forecasting model for wildfire-prone areas—0
Adaptive model selection in photonic reservoir computing by reinforcement learning—0
Daily peak electrical load forecasting with a multi-resolution approach—0
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives—0
A Neural Network-Based Energy Management System for PV-Battery Based Microgrids—0
Cost-Oriented Load Forecasting—0
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—0
Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting—0
Clustering Enabled Few-Shot Load Forecasting—0
Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies—0
An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction—0
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach—0
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
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