Estimation of wind speed with artificial neural networks method for Isparta using meteorological measurement data

Authors : Fatih GEMİCİ, Arzu ŞENCAN ŞAHİN

Pages : 65-69

Doi:10.31593/ijeat.895362

View : 42 | Download : 8

Publication Date : 2021-06-30

Article Type : Research Paper

Abstract :Renewable energy sources are of great importance for our country. Wind energy is a renewable energy source. Today, wind energy is mostly used in electricity generation. The electrical energy to be produced from a wind turbine is directly related to the wind speed in that region. In this study, the wind speed for Isparta between 1st of January 2019, and 31st of December 2019 has been estimated using an artificial neural network insert ignore into journalissuearticles values(ANN); depending on average air temperature insert ignore into journalissuearticles values(°C);, air pressure insert ignore into journalissuearticles values(mb);, relative humidity insert ignore into journalissuearticles values(%);, solar radiation insert ignore into journalissuearticles values(W/m2);. MATLAB programming language is used. RMSE insert ignore into journalissuearticles values(Root-Mean-Square Error); was found to be 6,946427364, and R2 value as 0.9479, cov coefficient of variation as 0.1609336. It has been observed that these values are at an acceptable level. Therefore, it has been seen that the artificial neural networks model can be used in wind speed estimation.
Keywords : Artificial neural network, Matlab, Wind speed, Prediction

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