Wind Energy Science
Wind Energy Science
WES
Articles | Volume 8, issue 10
Articles | Volume 8, issue 10
https://doi.org/10.5194/wes-8-1613-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-8-1613-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 10
Research article
 | 
27 Oct 2023
Research article |  | 27 Oct 2023

Extreme wind turbine response extrapolation with the Gaussian mixture model

Xiaodong Zhang and Nikolay Dimitrov

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Short summary
Wind turbine extreme response estimation based on statistical extrapolation necessitates using a small number of simulations to calculate a low exceedance probability. This is a challenging task especially if we require small prediction error. We propose the use of a Gaussian mixture model as it is capable of estimating a low exceedance probability with minor bias error, even with limited simulation data, having flexibility in modeling the distributions of varying response variables.
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