Area of research
Environmental Engineering · Aerospace Engineering
Research interest
Research interests include Wake, Computer science, Turbine, Gaussian process, Probabilistic logic, and Machine learning.
Overview of preparation for the American WAKE ExperimeNt (AWAKEN)
Identification of the energy contributions associated with wall-attached eddies and very-large-scale motions in the near-neutral atmospheric surface layer through wind LiDAR measurements
Data-driven wind turbine wake modeling via probabilistic machine learning
Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR measurements
Design of the American Wake Experiment (AWAKEN) field campaign