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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Bibliographic Details

Published in:	International journal of electrical power & energy systems Vol. 170; p. 110916
Main Authors:	Mishra, Chetan, Vanfretti, Luigi, Delaree, Jaime, Jones, Kevin D.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2025 Elsevier
Subjects:	Spectral analysis Synchrophasor Topological data analysis Synchrophasor Topological data analysis Spectral analysis
ISSN:	0142-0615
Online Access:	Get full text
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