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A Novel Combined Data-Driven Approach for Electricity Theft Detection

A Novel Combined Data-Driven Approach for Electricity Theft Detection

IEEE Transactions on Industrial Informatics (IEEE TII), 2019
11 November 2024
Kedi Zheng
Qixin Chen
Yijiao Wang
Chongqing Kang
Q. Xia
ArXiv (abs)PDFHTML

Papers citing "A Novel Combined Data-Driven Approach for Electricity Theft Detection"

2 / 2 papers shown
Title
Artificial Intelligence-Based Smart Grid Vulnerabilities and Potential
  Solutions for Fake-Normal Attacks: A Short Review
Artificial Intelligence-Based Smart Grid Vulnerabilities and Potential Solutions for Fake-Normal Attacks: A Short Review
J. D. Ndibwile
50
1
0
14 Feb 2022
Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection
  in AMI through Adversarial Attacks
Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection in AMI through Adversarial Attacks
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
AAML
197
9
0
16 Oct 2020
1