Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 5
Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-1889-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-1889-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 5
Research article
 | 
14 Sep 2022
Research article |  | 14 Sep 2022

A WaveNet-based fully stochastic dynamic stall model

Jan-Philipp Küppers and Tamara Reinicke

Viewed

Total article views: 2,116 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,451 599 66 2,116 61 82
  • HTML: 1,451
  • PDF: 599
  • XML: 66
  • Total: 2,116
  • BibTeX: 61
  • EndNote: 82
Views and downloads (calculated since 07 Apr 2022)
Cumulative views and downloads (calculated since 07 Apr 2022)

Viewed (geographical distribution)

Total article views: 2,116 (including HTML, PDF, and XML) Thereof 2,070 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Oct 2025
Download
Short summary
Airfoils play a major role in the technical harnessing of energy from currents such as wind and water. When the angle of attack of a wing changes dynamically, the forces on the wing often change more than would have been assumed from static measurements alone. Since these dynamic forces have a strong influence, e.g., on the performance of airplanes and wind turbines, a neural-network-based model was created that can predict these loads and their stochastic fluctuations.
Read more
Share
Altmetrics
Final-revised paper
Preprint