[HTML][HTML] A data-driven machine learning approach for yaw control applications of wind farms
This study proposes a cost-effective machine-learning based model for predicting velocity
and turbulence kinetic energy fields in the wake of wind turbines for yaw control …
and turbulence kinetic energy fields in the wake of wind turbines for yaw control …
A data-driven machine learning approach for yaw control applications of wind farms
C Santoni, Z Zhang, F Sotiropoulos… - … & Applied Mechanics …, 2023 - pubs-en.cstam.org.cn
This study proposes a cost-effective machine-learning based model for predicting velocity
and turbulence kinetic energy fields in the wake of wind turbines for yaw control …
and turbulence kinetic energy fields in the wake of wind turbines for yaw control …
A data-driven machine learning approach for yaw control applications of wind farms
C Santoni, Z Zhang, F Sotiropoulos… - Theoretical and …, 2023 - ui.adsabs.harvard.edu
Abstract Machine learning model predicts time-averaged velocity and turbulent kinetic
energy of turbine wakes. Accurately predict the primary and secondary steering of turbine …
energy of turbine wakes. Accurately predict the primary and secondary steering of turbine …