Deep Graph Convolutional Autoencoder With Conditional Normalizing Flow for Power Distribution Systems Fault Classification and Location

Accurate fault classification and location are critical to ensure the reliability and resilience of large-scale power distribution systems (PDSs). The existing data-driven works in this area struggle to capture essential space-time correlations of PDS measurements and often rely on deterministic and...

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Veröffentlicht in:	IEEE transactions on artificial intelligence Jg. 6; H. 9; S. 2448 - 2463
Hauptverfasser:	Saffari, Mohsen, Khodayar, Mahdi, Khodayar, Mohammad E., Fazlhashemi, Seyed Saeed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2025
Schlagworte:	Accuracy Artificial intelligence Conditional normalizing flow (CNF) Convolution Convolutional neural networks Current measurement Decoding deep convolution network deep spars architectures fault classification Fault location Feature extraction Logic gates Transmission line measurements
ISSN:	2691-4581, 2691-4581
Online-Zugang:	Volltext
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