Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake

• Main Authors: Purohit, Shantanu, Ng, Eddie Yin Kwee, Ijaz Fazil Syed Ahmed Kabir
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Mechanical engineering; Wake Velocity; Turbulence Intensity
• Online Access: https://hdl.handle.net/10356/162096
• Institution: Nanyang Technological University

In this paper, three machine learning (ML) algorithms, Support Vector Regression (SVR), Artificial Neural Networks (ANN), and Extreme Gradient Boosting (XGBoost), are validated to estimate the velocity and turbulence intensity of a wind turbine's wake at distinct downstream distances. To this e...