Electricity theft detection based on stacked sparse denoising autoencoder

Inspired by the powerful feature extraction and the data reconstruction ability of autoencoder, a stacked sparse denoising autoencoder is developed for electricity theft detection in this paper. The technical route is to employ the electricity data from honest users as the training samples, and the...

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Veröffentlicht in:	International journal of electrical power & energy systems Jg. 125; S. 106448
Hauptverfasser:	Huang, Yifan, Xu, Qifeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2021
Schlagworte:	Data reconstruction Electricity theft detection Feature extraction Receiver operating characteristic curve Stack autoencoder Feature extraction Data reconstruction Receiver operating characteristic curve Electricity theft detection Stack autoencoder
ISSN:	0142-0615, 1879-3517
Online-Zugang:	Volltext
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