Deep Reinforcement Learning for DER Cyber-Attack Mitigation-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for DER Cyber-Attack Mitigation

Published:2020-11-11 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
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Author:

Roberts Ciaran,Ngo Sy-Toan,Milesi Alexandre,Peisert Sean,Arnold Daniel,Saha Shammya,Scaglione Anna,Johnson Nathan,Kocheturov Anton,Fradkin Dmitriy

Funder

U.S. Department of Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9302911/9302928/09302997.pdf?arnumber=9302997

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Threat Modeling for AI Analysis: Towards the Usage of Misuse Case Templates and UML Diagrams for AI Experiment Description and Trajectory Generation;2024 The 13th International Conference on Informatics, Environment, Energy and Applications (IEEA);2024-02-21

2. Deep Reinforcement Learning-Driven Mitigation of Adverse Effects of Cyber-Attacks on Electric Vehicle Charging Station;Energies;2023-10-27

3. Deep-Learning-Powered Cyber-Attacks Mitigation Strategy in the EV Charging Infrastructure;2023 IEEE Power & Energy Society General Meeting (PESGM);2023-07-16

4. Survey on Intrusion Detection Systems Based on Machine Learning Techniques for the Protection of Critical Infrastructure;Sensors;2023-02-22

5. Challenges in Smartizing Operational Management of Functionally-Smart Inverters for Distributed Energy Resources: A Review on Machine Learning Aspects;Energies;2023-01-27

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