RegStack machine learning model for accurate prediction of tidal stream turbine performance and biofouling

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Publication Details

Journal
Expert Systems with Applications
Published
2025-04-25
DOI
https://doi.org/10.1016/j.eswa.2025.127766
Citations
1
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
4.99

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article

RegStack machine learning model for accurate prediction of tidal stream turbine performance and biofouling

Yassine Amirat, Mohd Hanzla, Mohamed Benbouzid, Tarek Berghout et al.
1 citations
Expert Systems with Applications
Wind Energy Research and Development
4.99
article

RegStack machine learning model for accurate prediction of tidal stream turbine performance and biofouling

Yassine Amirat, Mohd Hanzla, Mohamed Benbouzid, Tarek Berghout, Arindam Banerjee, Abdeslam Mamoune, Haroon Rashid
article en
1 citations

Abstract

No abstract available for this paper.
Expert Systems with ApplicationsVol. 283
Université de Bretagne Occidentale (FR), University of Batna 1 (DZ), Lehigh University (US), Institut de Recherche Dupuy de Lôme (FR)
U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Water Power Technologies Office
Affordable and clean energy
Openalex Percentile: Top 6%
Wind Energy Research and Development
4.99
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