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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Vydané v:	IEEE transactions on artificial intelligence Ročník 6; číslo 9; s. 2448 - 2463
Hlavní autori:	Saffari, Mohsen, Khodayar, Mahdi, Khodayar, Mohammad E., Fazlhashemi, Seyed Saeed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2025
Predmet:	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
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