• DocumentCode
    3640093
  • Title

    Modelling Turkey´s Energy Consumption Based on Artificial Neural Network

  • Author

    Huseyin Serdar Kuyuk;Ramazan Kayikci;Ömer Özkan; Bayraktaroğlu

  • Author_Institution
    Dept. of Civil Eng., Sakarya Univ., Sakarya, Turkey
  • fYear
    2010
  • Firstpage
    681
  • Lastpage
    685
  • Abstract
    Energy plays a fundamental role in an economy. Turkey has the world´s 15th largest GDP-Purchasing power parity and 17th largest Nominal GDP. Economists and political scientists classify Turkey as a newly industrialized country. In this study, an alternative model for Turkey’s energy consumption is proposed for the time between 1980 and 2004. Artificial neural network based model (ANN) is preferred as a forecasting tool. Gross domestic product (GDP), which is based on purchasing power parity, industrial production index and total population are utilized in the model. It is found that the energy consumption has direct relations with the Industrial Production Index. Moreover, population and GDP has causality effects.
  • Keywords
    "Energy consumption","Economic indicators","Artificial neural networks","Biological system modeling","Production","Neurons","Training"
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on
  • Print_ISBN
    978-1-4244-9211-4
  • Type

    conf

  • DOI
    10.1109/ICMLA.2010.105
  • Filename
    5708904