Toward ultra-efficient high-fidelity predictions of wind turbine wakes: Augmenting the accuracy of engineering models with machine learningPHYSICS OF FLUIDSIF4.32024-06-241PRE
A data-driven machine learning approach for yaw control applications of wind farmsTHEORETICAL AND APPLIED MECHANICS LETTERSIF3.32023-09-012OAAI
Coupling turbulent flow with blade aeroelastics and control modules in large-eddy simulation of utility-scale wind turbinesPHYSICS OF FLUIDSIF4.32023-01-1711PRE
One-way mesoscale-microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR dataWIND ENERGYIF3.32020-01-0632OAAI
Large-eddy simulations with extremum-seeking control for individual wind turbine power optimizationWIND ENERGYIF3.32017-05-1530PREAI
Towards reduced order modelling for predicting the dynamics of coherent vorticity structures within wind turbine wakesPHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCESIF3.72017-03-0656OAAI