Wide-area event classification in power systems using EfficientNet with robust adversarial defence

Resilience and security of the smart-grid are dependent on wide area monitoring, protection and control (WAMPC) systems, which are fueled by the data generated by high-resolution phasor measurement units (PMUs). Recently, Deep learning (DL) has shown strong potential for automating the detection and...

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Үндсэн зохиолчид:	Manohar Mishra, Debadatta Amaresh Gadanayak, Rupendra Kumar Pachauri, Jai Govind Singh
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Taylor & Francis Group 2026-12-01
Цуврал:	Systems Science & Control Engineering
Нөхцлүүд:	Wide area monitoring, protection and control EfficientNet models for classifying various power system disturbances detection and classification of disturbances from PMU dataset crafting black-box attacks using DeepFool perturbations
Онлайн хандалт:	https://www.tandfonline.com/doi/10.1080/21642583.2026.2657120
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!