Cyber-Physical Observability for the Electric Grid
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9035568/9042492/09042494.pdf?arnumber=9042494
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A graph embedding‐based approach for automatic cyber‐physical power system risk assessment to prevent and mitigate threats at scale;IET Cyber-Physical Systems: Theory & Applications;2024-06-21
2. A Comparison Study of Feature Extraction and Data Fusion Techniques for Improving Cyber-Physical Situational Awareness;2024 IEEE/PES Transmission and Distribution Conference and Exposition (T&D);2024-05-06
3. Needle-in-the-Haystack: On Automatic Risk-based Searching to Stop Cyber-Physical Threats in Large-Scale Power Systems;2024 58th Annual Conference on Information Sciences and Systems (CISS);2024-03-13
4. Leveraging graph clustering techniques for cyber‐physical system analysis to enhance disturbance characterisation;IET Cyber-Physical Systems: Theory & Applications;2024-02-17
5. An AI-Based Real-time Intrusion Detection System for Power Electronics-Dominated Grid: Attack on Inverters PQ Set-Points;2023 IEEE Energy Conversion Congress and Exposition (ECCE);2023-10-29
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