Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM

Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM

The increasing complexity of modern power systems, driven by smart grid technologies, dispersed generation, and renewable energy sources, has made power quality (PQ) evaluation more challenging. Overuse of sensors and large data volumes further complicate accurate PQ assessment. This paper proposes...

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Main Authors: Pampa Sinha, Kaushik Paul, Asit Mohanty, IM Elzein, Chandra Sekhar Mishra, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Ahmed Althobaiti, Hany S Hussein, Thamer AH Alghamdi, Ahmed M Ewais
Format: Article
Language:English
Published: SAGE Publishing 2025-05-01
Series:Energy Exploration & Exploitation
Online Access:https://doi.org/10.1177/01445987241312755
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https://doi.org/10.1177/01445987241312755

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