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...

Celý popis

Podrobná bibliografie

Vydáno v:	IEEE transactions on artificial intelligence Ročník 6; číslo 9; s. 2448 - 2463
Hlavní autoři:	Saffari, Mohsen, Khodayar, Mahdi, Khodayar, Mohammad E., Fazlhashemi, Seyed Saeed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.09.2025
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!