Dynamic Generative Residual Graph Convolutional Neural Networks for Electricity Theft Detection

Dynamic Generative Residual Graph Convolutional Neural Networks for Electricity Theft Detection

Illegal electricity users pose a significant threat to the economic and security aspects of the power system by illicitly accessing or manipulating electrical resources. With the widespread adoption of Advanced Metering Infrastructure (AMI), researchers have turned to leveraging smart meter data for...

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Bibliographic Details
Main Authors: Wei Zhuang, Wen Jiang, Min Xia, Jun Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Electricity theft detection
graph convolutional network
smote
smart grid
Online Access:https://ieeexplore.ieee.org/document/10475332/

Internet

https://ieeexplore.ieee.org/document/10475332/

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