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

• المؤلفون الرئيسيون: Purohit, Shantanu, Ng, Eddie Yin Kwee, Ijaz Fazil Syed Ahmed Kabir
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Mechanical engineering; Wake Velocity; Turbulence Intensity
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162096

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...