Articles | Volume 11, issue 6
https://doi.org/10.5194/wes-11-2229-2026
https://doi.org/10.5194/wes-11-2229-2026
Research article
 | 
22 Jun 2026
Research article |  | 22 Jun 2026

Graph neural operator for wind farm wake flow

Jens Peter Schøler, Frederik Peder Weilmann Rasmussen, Julian Quick, and Pierre-Elouan Réthoré

Data sets

Wind farm: Graph flow test data Jens Peter Schøler et al. https://doi.org/10.5281/zenodo.17671257

Model code and software

Wind-Farm-GNO Jens Peter Schøler https://doi.org/10.5281/zenodo.20698845

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Short summary
We propose a machine learning model that represents wind turbines as nodes in a graph, learning how they interact to predict the wind speed at any location on a farm. Trained on thousands of simulated farms, it captures complex wake interactions across varying layouts and sizes at low computational cost, supporting faster neighboring farm wake assessment.
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