Articles | Volume 11, issue 2
https://doi.org/10.5194/ms-11-447-2020
https://doi.org/10.5194/ms-11-447-2020
Research article
 | 
23 Nov 2020
Research article |  | 23 Nov 2020

Horizontal axis wind turbine modelling and data analysis by multilinear regression

Paulaiyan Tittus and Paul Mary Diaz

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Latest update: 04 Nov 2024
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Short summary
The approach in this research includes data visualization and multilinear regression analysis. Multiple linear regression is a standard selection model in the world of data science. The approach turned out to be promising. However, the results reveal that the implemented technique holds a high degree of predictions, and the number of data sets is adequate. It is also observed that errors are in less concentration as the sum of squared errors is zero for every parameter.