A multi-modal feature combination mechanism for identification of harmonic load in distribution networks based on artificial intelligence models

A multi-modal feature combination mechanism for identification of harmonic load in distribution networks based on artificial intelligence models

The challenge of harmonic pollution in active distribution networks is inherently complex, a data-driven approach being necessitated to comprehensively capture the nonlinear and non-stationary characteristics of harmonic power sequence signals, thereby enhancing recognition accuracy. To achieve inte...

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Bibliographic Details
Main Authors:	Renzeng Yang, Shuang Peng, Gang Yao
Format:	Article
Language:	English
Published:	Elsevier 2025-05-01
Series:	International Journal of Electrical Power & Energy Systems
Subjects:	Active distribution network Harmonic power load Variational mode decomposition (VMD) Arithmetic optimization algorithm (AOA) Bidirectional long short-term memory (bi-LSTM)
Online Access:	http://www.sciencedirect.com/science/article/pii/S0142061525000705
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