On the security of ANN-based AC state estimation in smart grid

With the deployment of new elements in the smart grid, traditional state estimation methods are challenged by growing dynamics and system size. Artificial neural network (ANN) based AC state estimation has been shown to provide faster results than traditional methods. However, researchers have disco...

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Veröffentlicht in:	Computers & security Jg. 105; S. 102265
Hauptverfasser:	Liu, Tian, Shu, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Ltd 01.06.2021 Elsevier Sequoia S.A
Schlagworte:	AC State estimation Accuracy Adversarial learning Algorithms Artificial neural networks Bus transport Computer simulation Cyber security Cybersecurity Deployment Estimation Evolutionary algorithms Evolutionary computation False data False data injection attack Measuring instruments Neural networks Quadratic programming Robustness Simulation Smart grid State estimation False data injection attack AC State estimation Adversarial learning Smart grid Cyber security
ISSN:	0167-4048, 1872-6208
Online-Zugang:	Volltext
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