Uncertainty quantification analysis for simulation of wakes in wind-farms using a stochastic RANS solver, compared with a deep learning approach
Author:
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference56 articles.
1. International energy outlook;IEA,2017
2. Wind turbine wake models developed at the technical university of Denmark: A review;Göçmen;Renew Sustain Energy Rev,2016
3. Flow structure and turbulence in wind farms;Stevens;Annu Rev Fluid Mech,2017
4. Review and evaluation of wake loss models for wind energy applications;Archer;Appl Energy,2018
5. Turbulence modeling in the age of data;Duraisamy;Annu Rev Fluid Mech,2019
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