Efficient Bayesian calibration of aerodynamic wind turbine models using surrogate modeling
<p>This paper presents an efficient strategy for the Bayesian calibration of parameters of aerodynamic wind turbine models. The strategy relies on constructing a surrogate model (based on adaptive polynomial chaos expansions), which is used to perform both parameter selection using global sens...
| Published in: | Wind Energy Science |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-03-01
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| Online Access: | https://wes.copernicus.org/articles/7/759/2022/wes-7-759-2022.pdf |