Electric vehicle charging load prediction method based on multi-objective modal decomposition and NAHL neural network

Electric vehicle charging load prediction method based on multi-objective modal decomposition and NAHL neural network

To improve the accuracy of electric vehicle charging load prediction, a prediction method based on multi-objective variational mode decomposition (VMD) and automatic artificial neural network with an augmented hidden layer (NAHL) is proposed. The non-dominated sorting genetic algorithm II (NSGAII) i...

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Bibliographic Details
Main Authors: GUO Xinzhe, WANG Yeqin, WANG Chao, WU Mingjiang, YANG Yan, ZHANG Chu
Format: Article
Language:zho
Published: Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd. 2025-03-01
Series:Diance yu yibiao
Subjects:
electric vehicle
load forecasting
vmd
fuzzy entropy
nsgaii
nahl neural network
Online Access:http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20240929001&flag=1&journal_id=dcyyb&year_id=2025
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