FORECASTING THE NET ENERGY DEMAND OF TURKEY BY ARTIFICIAL NEURAL NETWORKS


ES H. A. , KALENDER ÖKSÜZ F. Y. , Hamzacebi C.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, vol.29, no.3, pp.495-504, 2014 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 29 Issue: 3
  • Publication Date: 2014
  • Title of Journal : JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
  • Page Numbers: pp.495-504

Abstract

In this study, the net energy demand of Turkey has been predicted by artificial neural networks (ANN). In order to forecast net energy demand of Turkey, Gross Domestic Product (GDP), population, import, export, area of the building and vehicles number data was used as input of ANN model. The prediction performance of built ANN model has been demonstrated in comparison with a multiple linear regression technique. The comparisons are shown the superiority of ANN. By using the model which is acceptable and high accuracy, the net energy demand of Turkey has been predicted that between the years of 2011-2025.