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Quantification and reduction of uncertainties in a wind turbine numerical model based on a global sensitivity analysis and a recursive Bayesian inference approach
Research article (International Journal for Numerical Methods in Engineering, 2021) · cited 15× · AI/ML
Quantification and reduction of uncertainties in a wind turbine numerical model based on a global sensitivity analysis and a recursive Bayesian inference approach
Summary
Quantification and reduction of uncertainties in a wind turbine numerical model based on a global sensitivity analysis and a recursive Bayesian inference approach is a scholarly article[1].
Key Facts
Quantification and reduction of uncertainties in a wind turbine numerical model based on a global sensitivity analysis and a recursive Bayesian inference approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Quantification and reduction of uncertainties in a wind turbine numerical model based on a global sensitivity analysis and a recursive Bayesian inference approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantification-and-reduction-of-uncertainties-in-a-wind-turbine-numerical-model-based-on-a-global-sensitivity-analysis-a
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BibTeX@misc{4ortxyz_quantification-and-reduction-of-uncertainties-in-a-wind-turbine-numerical-model-based-on-a-global-sensitivity-analysis-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantification and reduction of uncertainties in a wind turbine numerical model based on a global sensitivity analysis and a recursive Bayesian inference approach}}, year = {2026}, url = {https://4ort.xyz/entity/quantification-and-reduction-of-uncertainties-in-a-wind-turbine-numerical-model-based-on-a-global-sensitivity-analysis-a}, note = {Accessed: 2026-05-24}}
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