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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Vydané v:	International journal of electrical power & energy systems Ročník 170; s. 110878
Hlavní autori:	Wang, Qi, Zhang, Jing, Hu, Jianxiong, Wu, Shutan, Hou, Shiyi, Tang, Yi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2025 Elsevier
Predmet:	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
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