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Consensus-based feature selection and Bayesian-optimized stacking ensembles for comprehensive fault diagnosis in series-compensated ultra-high-voltage power systems

Crossref DOI link: https://doi.org/10.1038/s41598-026-49195-7

Published Online: 2026-04-26

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nawaz, Rab

Qamar, Affaq

Wadood, Abdul

Albalawi, Hani
Funding

Funding for this research was provided by:

This work was supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University (IMSIU-DDRSP2603)
License Information

Text and Data Mining valid from 2026-04-26

Accepted Manuscript valid from 2026-04-26
More Information

Article History

Received: 27 January 2026

Accepted: 13 April 2026

First Online: 26 April 2026

Declarations

:

: The authors declare no competing interests.

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