Published July 8, 2022 | Version v1
Conference paper Open

On the limitations of Machine Learning (ML) methodologies in predicting the wake characteristics of wind turbines


  • 1. School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, Singapore



Machine Learning (ML) algorithms have been more prevalent in recent years, and they are being used to tackle complicated issues across a broad range of fields. Wind energy is not an exception, as ML has recently been applied to wind turbine blade design, wake velocity and wake turbulence intensity prediction, and even wind farm optimization ...


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