Cyberattack Correlation and Mitigation for Distribution Systems via Machine Learning
Author:
Affiliation:
1. The Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Funder
U.S. National Science Foundation
projects
5GPG sponsored by Commonwealth Cyber Initiative (CCI), State of Virginia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
https://ieeexplore.ieee.org/ielam/8784343/9999142/10015858-aam.pdf
Reference19 articles.
1. A tri-level optimization model to mitigate coordinated attacks on electric power systems in a cyber-physical environment
2. An ACOPF-based bilevel optimization approach for vulnerability assessment of a power system
3. A Mixed-Integer LP Procedure for the Analysis of Electric Grid Security Under Disruptive Threat
4. A Mathematical Theory of Communication
5. Induction of decision trees
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1. Advancements in data-driven voltage control in active distribution networks: A Comprehensive review;Results in Engineering;2024-09
2. An AI-based Approach for Scalable Cyber-Physical Optimal Response in Power Systems;2024 IEEE Texas Power and Energy Conference (TPEC);2024-02-12
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