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What is Cyber-Resilient Detection of Power Quality Events With NSCT and PCA-SVM about?

This paper presents a novel detection framework combining Nonsubsampled Contourlet Transform (NSCT) with Principal Component Analysis (PCA) and Support Vector Machine (SVM) to identify and classify power quality disturbances amidst cyber threats like False Data Injection and Denial of Service attacks. The proposed methodology enhances detection accuracy and robustness against noise, demonstrating significant improvements in smart grid operations. The framework also introduces a Frequency-Adaptive Detection

Author

kabilantm.26csb

Language

EN