A Short-Term Load Forecasting Method Considering Multiple Factors Based on VAR and CEEMDAN-CNN-BILSTM

Short-term load is influenced by multiple external factors and shows strong nonlinearity and volatility, which increases the forecasting difficulty. However, most of existing short-term load forecasting methods rely solely on the original load data or take into account a single external factor, whic...

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Autori principali:	Bao Wang, Li Wang, Yanru Ma, Dengshan Hou, Wenwu Sun, Shenghu Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-04-01
Serie:	Energies
Soggetti:	short-term load forecasting multiple contributing factors VAR with multivariate input CEEMDAN SCSSA
Accesso online:	https://www.mdpi.com/1996-1073/18/7/1855
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