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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Bibliographic Details
Main Authors: Xinyuan Hu, Yuan Zeng, Chao Qin, Dezhuang Meng
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Parameter identification
Ensemble learning
Bagging
Parameter sensitivity
Generalized composite load model
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722015001

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

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