Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM

<p dir="ltr">The increasing reliance on smart grids, coupled with the integration of renewable energy and growing cyber-physical interactions, has heightened the vulnerability of power systems to both power quality (PQ) disturbances and cyber-attacks. This paper presents an innovativ...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Sayanti Chatterjee (1311438) (author)
مؤلفون آخرون:	Pampa Sinha (19864778) (author), Ranjith Kumar Gatla (22467163) (author), Devineni Gireesh Kumar (22467166) (author), D. S. Naga Malleswara Rao (22467169) (author), Kaushik Paul (19864781) (author), Taha Selim Ustun (16869915) (author), Ahmet Onen (20838293) (author)
منشور في:	2025
الموضوعات:	Engineering Electrical engineering Information and computing sciences Artificial intelligence Cybersecurity and privacy Power quality (PQ) Nonsubsampled contourlet transform (NSCT) Morphological component analysis (MCA) Split augmented Lagrangian shrinkage approach (SALSA) Frequency-adaptive detection index (FADI) Cyber-physical security False data injection (FDI) Denial of service (DoS) Multi-class support vector machine (SVM) Smart grids
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Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM

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