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FORECASTING OF TURKEY’S ELECTRICITY CONSUMPTION USING SUPPORT VECTOR REGRESSION TRAINED WITH GENETIC ALGORITHM
2016
Journal:  
İstanbul İktisat Dergisi
Author:  
DOI:  
10.26560/iuifm.331689
Abstract:

Enerji, gelişmekte olan ve endüstrileşen ülkeler için ekonomik kalkın- manın sürdürülebilmesi açısından çok önemli bir faktördür. Elektrik ener- jisi de endüstrileşme ve yaşam standardının yükseltilmesi içinönemli enerji formlarından biridir. Enerji bakımından dışa bağımlı bir ülke olan Türkiye’de elektrik tüketiminin modellenmesi ve tahmin edilmesi ayrı bir öneme sahiptir. Bu çalışmada destek vektör regresyon yöntemiyle Türki- ye’nin 1975-2014 yılları arası elektrik tüketimi, nüfusu, ithalat, ihracat ve GSYH verileri kullanılarak bir tahmin uygulaması yapılmıştır. DVR para- metrelerinin seçiminde genetik algoritma yardımıyla yöntem performansı önemli ölçüde arttırılmıştır.

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İstanbul İktisat Dergisi

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

Metrics
Article : 434
Cite : 1.034
2023 Impact : 0.467
Details
İstanbul İktisat Dergisi