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Wind and Structures Volume 32, Number 2, February 2021 , pages 161-167 DOI: https://doi.org/10.12989/was.2021.32.2.161 |
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Estimation of the wind speed in Sivas province by using the artificial neural networks |
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Cahit Gurlek, Mustafa Sahin and Serkan Akkoyun
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| Abstract | ||
| In this study, the artificial neural network (ANN) method was used for estimating the monthly mean wind speed of Sivas, in the central part of Turkey. Eighteen years of wind speed data obtained from nine measurement stations during the period of 2000-2017 at 10 m height was used for ANN analysis. It was found that mean absolute percentage error (MAPE) ranged from 3.928 to 6.662, mean bias error (MBE) ranged from -0.089 to -0.003, while root mean square error (RMSE) ranged from 0.050 to 0.157 and R2 ranged from 0.86 to 0.966. ANN models provide a good approximation of the wind speed for all measurement stations, however, a tendency to underestimate is also obvious. | ||
| Key Words | ||
| artificial neural network; wind energy; wind speed; Sivas province | ||
| Address | ||
| Cahit Gurlek:Department of Mechanical Engineering, Sivas Cumhuriyet University, Sivas 58140, Turkey Mustafa Sahin:Turkish Railway Machines Industry Inc., Sivas 58030, Turkey Serkan Akkoyun:Department of Physics, Sivas Cumhuriyet University, Sivas 58140, Turkey | ||