Multi-fidelity surrogate modeling for the optimization of vertical-axis hydrokinetic turbines via Bayesian methods
Crossref DOI link: https://doi.org/10.1007/s40722-025-00465-y
Published Online: 2026-02-21
Published Print: 2026-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Susam, Oğuz
Gören, Ömer
Text and Data Mining valid from 2026-02-21
Version of Record valid from 2026-02-21
Article History
Received: 27 July 2025
Accepted: 30 December 2025
First Online: 21 February 2026
Declarations
:
: The authors declare no conflict of interest.