Efficient Deep Learning Based Detector for Electricity Theft Generation System Attacks in Smart Grid
Author:
Affiliation:
1. College of Science and Engineering Hamad Bin Khalifa University,Division of Information and Computing Technology,Doha,Qatar
2. Qatar Environment & Energy Research Institute (QEERI), Hamad Bin Khalifa University,Doha,Qatar
Funder
Qatar Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9774031/9773331/09774050.pdf?arnumber=9774050
Reference23 articles.
1. Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation
2. Data-Driven Detection of Electricity Theft Cyberattacks in PV Generation
3. Detection of Cyber Attacks on Voltage Regulation in Distribution Systems Using Machine Learning
4. Efficient detection of electricity theft cyber attacks in AMI networks
5. Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism
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