Forecasting of Turkey’s Electricity Consumption with Support Vector Regression and Chaotic Particle Swarm Algorithm

Authors : Oğuz Kaynar, Halil Özekicioğlu, Ferhan Demirkoparan

Pages : 211-224

View : 18 | Download : 11

Publication Date : 2017-07-12

Article Type : Research

Abstract :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
Keywords : Electricity consumption, Support Vector Regression, Chaotic Particle