Telling Apart: ML Framework Towards Cyber Attack and Fault Differentiation in Microgrids
Author:
Affiliation:
1. University of the Pacific,Department of Computer Science,USA
2. University of Nevada,Department of Computer Science and Engineering,Reno,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10639954/10639940/10639982.pdf?arnumber=10639982
Reference22 articles.
1. State of the Art in Research on Microgrids: A Review
2. Microgrid Market Size Statistics I Share Report, 2022-2030
3. The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks
4. Cyber-Physical Anomaly Detection in Microgrids Using Time-Frequency Logic Formalism
5. A Comprehensive Review on Cyber-Attack Detection and Control of Microgrid Systems
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