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A novel deep learning-based approach for risk assessment and defense in new-type power systems

Published Online: 2025-06-10

Published Print: 2025-10

Authors

Wang, Tengyan

Ma, Yuanyuan

Li, Nige

Chen, Mu

Zhang, Tao

Zhang, Jing

Zhao, Xinjian
Funding

Funding for this research was provided by:

State Grid Corporation of China (5700-202358388A-2-3-XG, 5700-202358388A-2-3-XG, 5700-202358388A-2-3-XG, 5700-202358388A-2-3-XG, 5700-202358388A-2-3-XG, 5700-202358388A-2-3-XG, 5700-202358388A-2-3-XG)
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Text and Data Mining valid from 2025-06-10

Version of Record valid from 2025-06-10
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Article History

Received: 30 December 2024

Accepted: 19 May 2025

First Online: 10 June 2025

Declarations

:

: The authors declare no conflict of interest.

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