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

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

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...

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

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