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

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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Bibliographic Details
Main Authors: Bao Wang, Li Wang, Yanru Ma, Dengshan Hou, Wenwu Sun, Shenghu Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
short-term load forecasting
multiple contributing factors
VAR with multivariate input
CEEMDAN
SCSSA
Online Access:https://www.mdpi.com/1996-1073/18/7/1855
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