Detection and identification of non-technical loss based on electricity consumption curve and deep learning

Detection and identification of non-technical loss based on electricity consumption curve and deep learning

Non-technical loss in power grid not only has a significant impact on the economic benefits of the power company, but also poses a serious threat to power quality and operational safety of the power system. In addition, measures taken by malicious users to seek profits grow in complexity, resulting...

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Bibliographic Details
Main Authors:	WANG Yunjing, XIAO Keyu, QU Zhengwei, HAN Xiaoming, DONG Haiyan, Popov Maxim Georgievitch
Format:	Article
Language:	zho
Published:	Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd. 2025-06-01
Series:	Diance yu yibiao
Subjects:	non-technical loss deep learning electricity consumption curve bidirectional long short-term memory multiclass classification problem
Online Access:	http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20220902008&flag=1&journal_id=dcyyb&year_id=2025
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