Cyber resilient machine learning models for estimating synchronous machine excitation current: Mitigating the impact of DoS attacks

The accurate estimation of excitation current in Synchronous Machines (SMs) is essential for maintaining the stability, efficiency, and power factor correction of power grids. With the increasing reliance on Machine Learning (ML) models for this task, the vulnerability of these models to cyber attac...

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Autori principali:	Najmul Alam, Md. Arafat Hossain, Md. Fatin Ishraque, M.A. Rahman, Md. Rashidul Islam
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-10-01
Serie:	International Journal of Electrical Power & Energy Systems
Soggetti:	Cyber security Denial of Service (DoS) attacks Machine Learning (ML) Synchronous Machines (SMs)
Accesso online:	http://www.sciencedirect.com/science/article/pii/S0142061525006039
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