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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Bibliographic Details

Published in:	Applied energy Vol. 355; p. 122283
Main Authors:	Tabassum, Tambiara, Toker, Onur, Khalghani, Mohammad Reza
Format:	Journal Article
Language:	English
Published:	01.02.2024
Subjects:	artificial intelligence energy neural networks utilities
ISSN:	0306-2619
Online Access:	Get full text
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