Wind Energy Science
Wind Energy Science
WES
Articles | Volume 10, issue 9
Articles | Volume 10, issue 9
https://doi.org/10.5194/wes-10-1979-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-10-1979-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 9
Research article
 | 
12 Sep 2025
Research article |  | 12 Sep 2025

Multi-task learning long short-term memory model to emulate wind turbine blade dynamics

Shubham Baisthakur and Breiffni Fitzgerald

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Short summary
Site-specific performance analysis of wind turbines is crucial but computationally prohibitive due to the high cost of evaluating numerical models. To address this, the authors propose a machine learning model combined with dimensionality reduction using principal component analysis and the discrete cosine transform, along with a long short-term memory model, to predict dynamic responses at a fraction of the computational cost.
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