Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network

Contemporary cyber–physical systems have evolved into highly autonomous and distributed entities, enabled by cutting-edge control frameworks and advanced communication networks. This transformation has empowered these systems to efficiently accommodate inverter-based resources, harnessing the grid’s...

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Vydané v:	Applied energy Ročník 355; s. 122283
Hlavní autori:	Tabassum, Tambiara, Toker, Onur, Khalghani, Mohammad Reza
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	01.02.2024
Predmet:	artificial intelligence energy neural networks utilities
ISSN:	0306-2619
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