A new method for short-term load forecasting based on weighted fusion of base models

•Expanding economic and climate features as inputs to enhance the model’s ability to capture load changes.•Introducing singular value decomposition technology to remove noise from load data, while preserving key features and trends, to improve data quality.•Select multiple typical models as sub mode...

Full description

Bibliographic Details

Published in:	Applied thermal engineering Vol. 280; p. 128313
Main Authors:	Bian, Kai, Xu, Jing, Wang, Haohao, Ding, Junfeng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2025
Subjects:	Combined model Data denoising Feature selection Parameter optimization Short-term load forecasting Combined model Feature selection Data denoising Short-term load forecasting Parameter optimization
ISSN:	1359-4311
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!