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A regressive machine-learning approach to the non-linear complex FAST model for hybrid floating offshore wind turbines with integrated oscillating water columns

Crossref DOI link: https://doi.org/10.1038/s41598-023-28703-z

Published Online: 2023-01-27

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

Authors

Ahmad, Irfan

M’zoughi, Fares

Aboutalebi, Payam

Garrido, Izaskun

Garrido, Aitor J.
Funding

Funding for this research was provided by:

Euskal Herriko Unibertsitatea (PIF20/299)

Ministerio de Ciencia, Innovación y Universidades (MAZAM22/15)

Ministerio de Ciencia e Innovación (PID2021-123543OB-C22)

Eusko Jaurlaritza (IT1555-22)
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Text and Data Mining valid from 2023-01-27

Version of Record valid from 2023-01-27
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Article History

Received: 19 October 2022

Accepted: 23 January 2023

First Online: 27 January 2023

Competing interests

: The authors declare no competing interests.

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