Comparative Analysis of Hybrid Deep Learning Models for Electricity Load Forecasting During Extreme Weather

Extreme weather events present some of the most severe natural threats to the electric grid, and accurate load forecasting during those events is essential for grid management and disaster preparedness. In this study, we evaluate the effectiveness of hybrid deep learning (DL) models for electrical l...

Full description

Saved in:

Bibliographic Details
Main Authors:	Altan Unlu, Malaquias Peña
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Energies
Subjects:	load forecasting extreme weather combined and hybrid deep learning models multi-input multi-output forecasting CNN RNN
Online Access:	https://www.mdpi.com/1996-1073/18/12/3068
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Comparative Analysis of Hybrid Deep Learning Models for Electricity Load Forecasting During Extreme Weather

Similar Items