Wind energy is one of the most promising resources of energy for the future. Wind is generally regarded as the most renewable and green energy type. The reason for this perception is mainly because of wind’s inexhaustible, sustainable and abundant characteristics. Recent years has witnessed a significant increase in wind energy investments. Wind speed forecasting is considered as the most important area of research with regard to better investment and planning decisions. In this study; support vector regression and multivariable grey model with parameter optimization are applied to the wind speed forecasting problem. The main objective of this study is to reveal the possible usage and compare the performances of support vector regression against grey theory based forecasting. The performances of the selected algorithms are benchmarked on a sample dataset. The data was obtained from Cukurova region of Turkey. Experimental results indicate that multivariable grey model with parameter optimization outperforms support vector regression in terms of forecast accuracy.
Konular  Matematik ve İstatistik 

Yayımlanma Tarihi  Aralık 2017 
Dergi Bölümü  Articles 
Yazarlar 

Bibtex  @araştırma makalesi { forecasting340707,
journal = {Turkish Journal of Forecasting},
issn = {},
address = {Giresun University Forecast Research Laboratory},
year = {2017},
volume = {01},
pages = {46  53},
doi = {},
title = {A Comparison of Support Vector Regression and Multivariable Grey Model for ShortTerm Wind Speed Forecasting},
key = {cite},
author = {Bektaş, Zeynep and Özcan, Tuncay and Küçükdeniz, Tarık}
} 
APA  Bektaş, Z , Küçükdeniz, T , Özcan, T . (2017). A Comparison of Support Vector Regression and Multivariable Grey Model for ShortTerm Wind Speed Forecasting. Turkish Journal of Forecasting, 01 (2), 4653. Retrieved from http://dergipark.gov.tr/forecasting/issue/33413/340707 
MLA  Bektaş, Z , Küçükdeniz, T , Özcan, T . "A Comparison of Support Vector Regression and Multivariable Grey Model for ShortTerm Wind Speed Forecasting". Turkish Journal of Forecasting 01 (2017): 4653 <http://dergipark.gov.tr/forecasting/issue/33413/340707> 
Chicago  Bektaş, Z , Küçükdeniz, T , Özcan, T . "A Comparison of Support Vector Regression and Multivariable Grey Model for ShortTerm Wind Speed Forecasting". Turkish Journal of Forecasting 01 (2017): 4653 
RIS  TY  JOUR T1  A Comparison of Support Vector Regression and Multivariable Grey Model for ShortTerm Wind Speed Forecasting AU  Zeynep Bektaş , Tarık Küçükdeniz , Tuncay Özcan Y1  2017 PY  2017 N1  DO  T2  Turkish Journal of Forecasting JF  Journal JO  JOR SP  46 EP  53 VL  01 IS  2 SN  26186594 M3  UR  Y2  2017 ER  
EndNote  %0 Turkish Journal of Forecasting A Comparison of Support Vector Regression and Multivariable Grey Model for ShortTerm Wind Speed Forecasting %A Zeynep Bektaş , Tarık Küçükdeniz , Tuncay Özcan %T A Comparison of Support Vector Regression and Multivariable Grey Model for ShortTerm Wind Speed Forecasting %D 2017 %J Turkish Journal of Forecasting %P 26186594 %V 01 %N 2 %R %U 