Forecasting of Turkey’s Electricity Consumption with Support Vector Regression and Chaotic Particle Swarm Algorithm
Yükleniyor...
Tarih
2017-02
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Çanakkale Onsekiz Mart Üniversitesi
Erişim Hakkı
Özet
Energy is a very important factor in terms of sustaining the economic development for developing and industrialized countries. Electricity is one of the most important forms of energy for industrialization and improvement of living standards. The estimation and modeling of electricity consumption has a special importance in Turkey which is a foreign-dependent country in energy. In this study, a forecasting application is made by using Turkey’s electricity consumption, population, import, export and gross domestic product between 1975-2014 employing support vector regression methods. Chaotic particle swarm optimization algorithm (CPSO) is used to choose the parameters of SVR.
Açıklama
Anahtar Kelimeler
Electricity consumption, Support Vector Regression, Chaotic Particle Swarm Optimization Algorithm, Prediction
Kaynak
Yönetim Bilimleri Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Kaynar, O., Özekicioğlu, H. ve Demirkoparan, F. (2017).Forecasting of Turkey’s Electricity Consumption with Support Vector Regression and Chaotic Particle Swarm Algorithm. Yönetim Bilimleri Dergisi, 15, 211-224.
