Detection of False Data Injection Cyber-Attacks in DC Microgrids Based on Recurrent Neural Networks-Reference-Cited by-同舟云学术

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Detection of False Data Injection Cyber-Attacks in DC Microgrids Based on Recurrent Neural Networks

Published:2021-10 Issue:5 Volume:9 Page:5294-5310
ISSN:2168-6777
Container-title:IEEE Journal of Emerging and Selected Topics in Power Electronics
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Power Electron.

Author:

Habibi Mohammad Reza^ORCID,Baghaee Hamid Reza^ORCID,Dragicevic Tomislav^ORCID,Blaabjerg Frede^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/6245517/9555402/08963972.pdf?arnumber=8963972

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2. Enhancing Cyber-Resiliency of DER-Based Smart Grid: A Survey;IEEE Transactions on Smart Grid;2024-09

3. Hardware Implementation of Hybrid Data Driven-PI Control Scheme for Resilient Operation of Standalone DC Microgrid;Batteries;2024-08-23

4. Robust Data-Driven Adversarial False Data Injection Attack Detection Method With Deep Q-Network in Power Systems;IEEE Transactions on Industrial Informatics;2024-08

5. A Survey on Application of Artificial Intelligence Techniques in Microgrid Control;2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2024-06-24

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