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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Autors principals:	Bao Wang, Li Wang, Yanru Ma, Dengshan Hou, Wenwu Sun, Shenghu Li
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-04-01
Col·lecció:	Energies
Matèries:	short-term load forecasting multiple contributing factors VAR with multivariate input CEEMDAN SCSSA
Accés en línia:	https://www.mdpi.com/1996-1073/18/7/1855
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A Short-Term Load Forecasting Method Considering Multiple Factors Based on VAR and CEEMDAN-CNN-BILSTM

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