Topology and FDIA identification in distribution system state estimation using a data-driven approach

In general, the solution of distribution system state estimation (DSSE) is highly dependent on the accuracy of measurement data and accurate topology data. Since the measurement devices are more vulnerable to different types of cyberattacks such as denial-of-service (DoS) attacks, outliers, and stru...

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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 253; s. 117741
Hlavní autori:	Raghuvamsi, Y., Batchu, Sreenadh, Teeparthi, Kiran
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2025
Predmet:	Denoising autoencoder Distribution system state estimation False data injection attacks Graph-based temporal convolutional network Line current sensors Topology identification Distribution system state estimation Graph-based temporal convolutional network Denoising autoencoder Line current sensors False data injection attacks Topology identification
ISSN:	0263-2241
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