Bagging-based neural network ensemble for load identification with parameter sensitivity considered

Bagging-based neural network ensemble for load identification with parameter sensitivity considered

Extensive installation of measuring devices in power systems promotes the application of the artificial intelligence (AI) in load identification. However, the convergence problems of training and the relatively low accuracy hinder the AI method from further development. In this study, a neural netwo...

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Detalles Bibliográficos
Autores principales: Xinyuan Hu, Yuan Zeng, Chao Qin, Dezhuang Meng
Formato: Artículo
Lenguaje:English
Publicado: Elsevier 2022-11-01
Colección:Energy Reports
Materias:
Parameter identification
Ensemble learning
Bagging
Parameter sensitivity
Generalized composite load model
Acceso en línea:http://www.sciencedirect.com/science/article/pii/S2352484722015001

Internet

http://www.sciencedirect.com/science/article/pii/S2352484722015001

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