Forecasting of Turkey's net electricity energy consumption on sectoral bases

HAMZAÇEBİ C.

ENERGY POLICY, cilt.35, sa.3, ss.2009-2016, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 3
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1016/j.enpol.2006.03.014
  • Dergi Adı: ENERGY POLICY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.2009-2016
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In this study forecast of Turkey's net electricity energy consumption on sectoral basis until 2020 is explored. Artificial neural networks (ANN) is preferred as forecasting tool. The reasons behind choosing ANN are the ability of ANN to forecast future values of more than one variable at the same time and to model the nonlinear relation in the data structure. Founded forecast results by ANN are compared with official forecasts. (c) 2006 Published by Elsevier Ltd.