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...

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Vydané v:	Applied thermal engineering Ročník 280; s. 128313
Hlavní autori:	Bian, Kai, Xu, Jing, Wang, Haohao, Ding, Junfeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2025
Predmet:	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
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