APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION

Öz An area's wind speed forecasting is very important to investigate whether the area is available for wind power. The wind speed estimation has been carried out by means of other machine learning methods, mostly artificial neural networks. Because, in such methods, it is aimed to estimate the wind speed with the highest accuracy along with the decimal. However, if a wind farm is to be installed, the wind speed, which is a variable in the range of 0-20 m / s, can easily be estimated with round values. If the wind speed values ​​obtained with round values ​​are forecasted with a high accuracy rate, the wind speed that is necessary for the establishment of a wind power plant in a region is obtained by a shorter and easier way. In this study, the decision tree method was used in order to reach wind speed information with an easier method and with a very short training period. Decision tree methods were examined in three different structures and three different decision tree models were designed. Additionally the estimation results of all three methods were very high, the most accurate estimation was obtained by the “Coarse Decision Tree” method which is much simpler and faster than the others.

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Kaynak Göster

Bibtex @araştırma makalesi { ejt558914, journal = {European Journal of Technique (EJT)}, issn = {2536-5010}, eissn = {2536-5134}, address = {INESEG Yayıncılık Dicle Üniversitesi Teknokent, Sur/Diyarbakır}, publisher = {Hibetullah KILIÇ}, year = {2019}, volume = {9}, pages = {74 - 83}, doi = {10.36222/ejt.558914}, title = {APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION}, key = {cite}, author = {Akıncı, T. Çetin and Noğay, H. Selçuk} }
APA Akıncı, T , Noğay, H . (2019). APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION . European Journal of Technique (EJT) , 9 (1) , 74-83 . DOI: 10.36222/ejt.558914
MLA Akıncı, T , Noğay, H . "APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION" . European Journal of Technique (EJT) 9 (2019 ): 74-83 <https://dergipark.org.tr/tr/pub/ejt/issue/46775/558914>
Chicago Akıncı, T , Noğay, H . "APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION". European Journal of Technique (EJT) 9 (2019 ): 74-83
RIS TY - JOUR T1 - APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION AU - T. Çetin Akıncı , H. Selçuk Noğay Y1 - 2019 PY - 2019 N1 - doi: 10.36222/ejt.558914 DO - 10.36222/ejt.558914 T2 - European Journal of Technique (EJT) JF - Journal JO - JOR SP - 74 EP - 83 VL - 9 IS - 1 SN - 2536-5010-2536-5134 M3 - doi: 10.36222/ejt.558914 UR - https://doi.org/10.36222/ejt.558914 Y2 - 2019 ER -
EndNote %0 European Journal of Technique APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION %A T. Çetin Akıncı , H. Selçuk Noğay %T APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION %D 2019 %J European Journal of Technique (EJT) %P 2536-5010-2536-5134 %V 9 %N 1 %R doi: 10.36222/ejt.558914 %U 10.36222/ejt.558914
ISNAD Akıncı, T. Çetin , Noğay, H. Selçuk . "APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION". European Journal of Technique (EJT) 9 / 1 (Haziran 2019): 74-83 . https://doi.org/10.36222/ejt.558914
AMA Akıncı T , Noğay H . APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION. EJT. 2019; 9(1): 74-83.
Vancouver Akıncı T , Noğay H . APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION. European Journal of Technique (EJT). 2019; 9(1): 74-83.
IEEE T. Akıncı ve H. Noğay , "APPLICATION OF DECISION TREE METHODS FOR WIND SPEED ESTIMATION", European Journal of Technique (EJT), c. 9, sayı. 1, ss. 74-83, Haz. 2019, doi:10.36222/ejt.558914