Attack-Resilient Optimal PMU Placement via Reinforcement Learning Guided Tree Search in Smart Grids-Reference-Cited by-同舟云学术

Attack-Resilient Optimal PMU Placement via Reinforcement Learning Guided Tree Search in Smart Grids

Published:2022 Issue: Volume:17 Page:1919-1929
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Zhang Meng¹^ORCID,Wu Zhuorui¹,Yan Jun²^ORCID,Lu Rongxing³^ORCID,Guan Xiaohong¹^ORCID

Affiliation:

1. Ministry of Education Key Laboratory for Intelligent Networks and Network Security, School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China

2. Concordia Institute for Information Systems Engineering, Concordia University, Montréal, QC, Canada

3. Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/9652463/09771241.pdf?arnumber=9771241

Reference44 articles.

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5. Optimal PMU placement for full network observability using Tabu search algorithm

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