Future projection of the energy dependency of Turkey using artificial neural network

SÖZEN A.

ENERGY POLICY, cilt.37, sa.11, ss.4827-4833, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 11
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.enpol.2009.06.040
  • Dergi Adı: ENERGY POLICY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.4827-4833
  • Anahtar Kelimeler: Energy dependency, Energy indicators, Artificial neural network, ECONOMIC-GROWTH, CONSUMPTION, DEMAND, GDP
  • Gazi Üniversitesi Adresli: Evet

Özet

Energy dependency (ED) implies the extent to which an economy relies upon imports in order to meet its energy needs. The ED is calculated as net imports divided by the sum of gross inland energy consumption plus bunkers. This study aims at obtaining numerical equations to estimate of Turkey's energy dependency based on basic energy indicators and sectoral energy consumption by using artificial neural network (ANN) technique. It seeks to contribute to the strategies necessary to preserve the supply-demand balance of Turkey. For this purpose, two different models were used to train the ANN approach. In Model 1, main energy indicators such as total production of primary energy per capita, total gross electricity generation per capita and final energy consumption per capita were used in the input layer of the ANN while sectoral energy consumption per capita was used in Model 2.