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

Energy systems require radical changes due to the conflicting needs of combating climate change and meeting rising energy demands. These revolutionary decentralization, decarbonization, and digitalization techniques have ushered in a new global energy paradigm. Waves of disruption have been felt acr...

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Veröffentlicht in:	The Artificial intelligence review Jg. 57; H. 7; S. 183
Hauptverfasser:	Cali, Umit, Catak, Ferhat Ozgur, Halden, Ugur
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.07.2024 Springer Springer Nature B.V
Schlagworte:	Algorithms Anomalies Artificial Intelligence Climate change Climatic changes Computer Science Credibility Critical infrastructure Cyber-physical systems Cybersecurity Cyberterrorism Data security Decentralization Digital technology Digitization Disruption Electric power systems Electric power transmission Electricity Electricity distribution Energy Energy industry Grammatical aspect Infrastructure International trade Internet Iterative methods Measurement Measuring instruments Mitigation Operators Phasors Power Security Trustworthiness
ISSN:	1573-7462, 0269-2821, 1573-7462
Online-Zugang:	Volltext
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