Articles | Volume 11, issue 9
https://doi.org/10.5194/wes-11-3171-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Gaussian process surrogate modeling for efficient controller tuning and fatigue load prediction of the helix wake-mixing method
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- Final revised paper (published on 02 Sep 2026)
- Preprint (discussion started on 14 Apr 2026)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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- RC1: 'Comment on wes-2026-62', Anonymous Referee #1, 04 May 2026
- RC2: 'Comment on wes-2026-62', Anonymous Referee #2, 14 May 2026
- AC1: 'Comment on wes-2026-62', Daan van der Hoek, 17 Jul 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Daan van der Hoek on behalf of the Authors (17 Jul 2026)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (22 Jul 2026) by Majid Bastankhah
RR by Anonymous Referee #1 (29 Jul 2026)
RR by Anonymous Referee #2 (06 Aug 2026)
ED: Publish as is (14 Aug 2026) by Majid Bastankhah
ED: Publish as is (19 Aug 2026) by Paul Fleming (Chief editor)
AR by Daan van der Hoek on behalf of the Authors (21 Aug 2026)
Manuscript
Please find detailed comments in the attached document.