Application of Artificial Intelligence Methods in the Analysis of the Cyclic Durability of Superconducting Fault Current Limiters Used in Smart Power Systems

This article presents a preliminary study on the potential application of artificial intelligence methods for assessing the durability of HTS tapes in superconducting fault current limiters (SFCLs). Despite their importance for the selectivity and reliability of power networks, these devices remain...

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Detalhes bibliográficos

Principais autores:	Sylwia Hajdasz, Marek Wróblewski, Adam Kempski, Paweł Szcześniak
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-08-01
coleção:	Energies
Assuntos:	superconducting fault current limiter high-temperature superconducting machine learning artificial intelligence methods predictive system
Acesso em linha:	https://www.mdpi.com/1996-1073/18/17/4563
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