Enhancing resilience of distributed DC microgrids against cyber attacks using a transformer-based Kalman filter estimator

Abstract This article presents a novel data-driven methodology designed to enhance the resilience of distributed DC microgrids against various cyber attacks, including Fault Detection and Isolation (FDI) attacks, Denial of Service (DoS) attacks, and delay attacks. A Transformer-based Kalman Filter (...

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Auteurs principaux:	Seyyed Mohammad Hosseini Rostami, Mahdi Pourgholi, Hadi Asharioun
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-02-01
Collection:	Scientific Reports
Sujets:	DC microgrids Cyber attacks TKF Deep learning ARIMA
Accès en ligne:	https://doi.org/10.1038/s41598-025-90959-4
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