A Novel Electricity Theft Detection Scheme Based on Text Convolutional Neural Networks

A Novel Electricity Theft Detection Scheme Based on Text Convolutional Neural Networks

Electricity theft decreases electricity revenues and brings risks to power usage’s safety, which has been increasingly challenging nowadays. As the mainstream in the relevant studies, the state-of-the-art data-driven approaches mainly detect electricity theft events from the perspective of the corre...

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Bibliographic Details
Main Authors: Xiaofeng Feng, Hengyu Hui, Ziyang Liang, Wenchong Guo, Huakun Que, Haoyang Feng, Yu Yao, Chengjin Ye, Yi Ding
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Energies
Subjects:
data-driven approaches
electricity theft detection
smart meters
text convolutional neural networks (TextCNN)
time-series classification
Online Access:https://www.mdpi.com/1996-1073/13/21/5758

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