A electricity theft detection method through contrastive learning in smart grid

A electricity theft detection method through contrastive learning in smart grid

Abstract As an important edge device of power grid, smart meters enable the detection of illegal behaviors such as electricity theft by analyzing large-scale electricity consumption data. Electricity theft poses a major threat to the economy and the security of society. Electricity theft detection (...

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Bibliographic Details
Main Authors:	Zijian Liu, Weilong Ding, Tao Chen, Maoxiang Sun, Hongmin Cai, Chen Liu
Format:	Article
Language:	English
Published:	SpringerOpen 2023-06-01
Series:	EURASIP Journal on Wireless Communications and Networking
Subjects:	Smart grid Electricity theft detection Contrastive learning
Online Access:	https://doi.org/10.1186/s13638-023-02258-z

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