Sensorless Estimation of Wind Speed by Soft Computing Methodologies: A Comparative Study

@article{Petkovi2015SensorlessEO,
  title={Sensorless Estimation of Wind Speed by Soft Computing Methodologies: A Comparative Study},
  author={Dalibor Petkovi{\'c} and Muhammad Arif and Shahaboddin Shamshirband and Ehab Hussein Bani-Hani and Davood Kiakojoori},
  journal={Informatica},
  year={2015},
  volume={26},
  pages={493-508}
}
This paper shows a few novel calculations for wind speed estimation, which is focused around soft computing. The inputs of to the estimators are picked as the wind turbine power coeffi- cient, rotational rate and blade pitch angle. Polynomial and radial basis function (RBF) are applied as the kernel function of Support Vector Regression (SVR) technique to estimate the wind speed in this study. Instead of minimizing the observed training error, SVR_poly and SVR_rbf attempt to minimize the… 
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