Cyber-Attack Detection Approach In Photovoltaic Microgrids Using LSTM-based Autoencoders-Reference-Cited by-同舟云学术

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Cyber-Attack Detection Approach In Photovoltaic Microgrids Using LSTM-based Autoencoders

Published:2023-12-11 Issue: Volume:1 Page:183-188
ISSN:
Container-title:2023 4th International Conference on Power Engineering (ICPE)
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Author:

Liu Quan¹,Guo Shiang²,Qiu Shenjian³,Fei Jiaxuan³,Zhang Bo³,Yu Xiang¹,Pan Kaikai²

Affiliation:

1. State Grid Jiangsu Electric Power Co. Ltd.,Yangzhou Power Supply Branch,Yangzhou,China

2. Zhejiang University, School of Electrical Engineering,Hangzhou,China

3. State Grid Smart Grid Research Institute Co., LTD.,State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468576/10468671/10469652.pdf?arnumber=10469652

Reference20 articles.

1. Techno-Economic Operation and Environmental Life-Cycle Assessment of a Solar PV-Driven Islanded Microgrid

2. Photovoltaics in Microgrids: An Overview of Grid Integration and Energy Management Aspects

3. Design of a Partially Grid-Connected Photovoltaic Microgrid Using IoT Technology

4. Microgrid Risk Analysis Considering the Impact of Cyber Attacks on Solar PV and ESS Control Systems

5. A Review of Cyber-Physical Security for Photovoltaic Systems

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