Trustworthy cyber-physical power systems using AI:dueling algorithms for PMU anomaly detection and cybersecurity

Cali, Umit orcid.org/0000-0002-6402-0479, Catak, Ferhat Ozgur and Halden, Ugur (2024) Trustworthy cyber-physical power systems using AI:dueling algorithms for PMU anomaly detection and cybersecurity. Artificial Intelligence Review. 183. ISSN 0269-2821

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Item Type: Article
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© The Author(s) 2024

Dates:
  • Published: 21 June 2024
  • Accepted: 6 June 2024
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 21 Jan 2025 18:18
Last Modified: 21 Jan 2025 18:18
Published Version: https://doi.org/10.1007/s10462-024-10827-x
Status: Published
Refereed: Yes
Identification Number: 10.1007/s10462-024-10827-x
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Filename: s10462-024-10827-x.pdf

Description: Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity

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