Towards a machine-learning-based large eddy simulation of offshore wind farms

This study introduces a Scale-Adaptive Machine-Learning Subgrid-Scale model developed to predict subgrid-scale turbulence within the framework of large eddy simulations for offshore wind farms. Unlike traditional subgrid-scale models that rely on blending of isotropy and scale similarity, the propos...

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Vydané v:	Computers & fluids Ročník 302; s. 106823
Hlavní autori:	Marefat, H. Ali, Alam, Jahrul, Pope, Kevin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.11.2025
Predmet:	Encoder–decoder models LES Machine learning Offshore wind farms Subgrid-scale model LES Encoder–decoder models Subgrid-scale model Machine learning Offshore wind farms
ISSN:	0045-7930
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