K-means++ for Critical Component Identification: Power Grid Case Study Using Measurement-Based Analysis
Reza SaeedKandezy,
John Jiang
Abstract:The inherent capabilities of the K-means++ algorithm to approximate system dynamics within complex systems are subjected by constructing a network structure that captures interconnections among identified components, extending its original purpose as a data clustering method and transforming it into a tool for systems analysis. Leveraging advanced measurement technologies and sophisticated data collection systems, the K-means++ algorithm unveils hidden relationships among components and identifies critical ele… Show more
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