Discerning dynamics in synchrophasor data using topological data analysis

•Formulated discovering dynamics in ambient data as detecting prominent topological features in spectrum data.•Derived a statistical threshold for sub-level set persistence diagrams.•The threshold accounts for estimation noise and is compared to state of the art.•Applied method to real-world synchro...

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Vydané v:	International journal of electrical power & energy systems Ročník 170; s. 110916
Hlavní autori:	Mishra, Chetan, Vanfretti, Luigi, Delaree, Jaime, Jones, Kevin D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2025 Elsevier
Predmet:	Spectral analysis Synchrophasor Topological data analysis Synchrophasor Topological data analysis Spectral analysis
ISSN:	0142-0615
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