A CGAN-based adversarial attack method for data-driven state estimation

•Security threats for power system state estimation problem are analyzed, especially cyber-attacks oriented to data-driven state estimation methods.•Adversarial attack methods for power system state estimation, as well as injection of adversarial samples, are analyzed. Several useful conclusions for...

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Veröffentlicht in:	International journal of electrical power & energy systems Jg. 170; S. 110878
Hauptverfasser:	Wang, Qi, Zhang, Jing, Hu, Jianxiong, Wu, Shutan, Hou, Shiyi, Tang, Yi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2025 Elsevier
Schlagworte:	Adversarial attacks Conditional generative adversarial networks Data-driven algorithms Generative adversarial networks State estimation Generative adversarial networks Data-driven algorithms Conditional generative adversarial networks State estimation Adversarial attacks
ISSN:	0142-0615
Online-Zugang:	Volltext
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