Resilient Optimal Defensive Strategy of Micro-Grids System via Distributed Deep Reinforcement Learning Approach Against FDI Attack-Reference-Cited by-同舟云学术

Resilient Optimal Defensive Strategy of Micro-Grids System via Distributed Deep Reinforcement Learning Approach Against FDI Attack

Published:2022 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhang Huifeng¹^ORCID,Yue Dong¹^ORCID,Dou Chunxia¹^ORCID,Hancke Gerhard P.²^ORCID

Affiliation:

1. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

2. College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China, and also with the School of Engineering, University of Pretoria, Pretoria 0002, South Africa.

Funder

National Key Research and Development Program of China

National Natural Science Fund

Basic Research Project of Leading Technology of Jiangsu Province

National Natural Science Fund of Jiangsu Province

National Natural Science Key Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09783467.pdf?arnumber=9783467

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