Robust Power System Stability Assessment Against Adversarial Machine Learning-Based Cyberattacks via Online Purification
Author:
Affiliation:
1. Brookhaven National Laboratory, Upton, NY, USA
2. Department of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, USA
Funder
Laboratory Directed Research and Development
Brookhaven National Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/10288290/10005029.pdf?arnumber=10005029
Reference38 articles.
1. A Fully Data-Driven Method Based on Generative Adversarial Networks for Power System Dynamic Security Assessment With Missing Data
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