Abstract
ABSTRACT In recent years, analyzing the data gathered during production process of the energy has become an important issue in the wind energy sector in order to increase the efficiency of the produced energy. This study estimated the produced energy value by using machine learning algorithms depending on the temperature, wind speed and direction values gathered from the wind turbine in 2015. A mathematical equation which correctly estimates the energy production value by 90% has been obtained. A computer program was developed for other users to see the results of this mathematical equation.
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