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Electricity estimation using genetic algorithm approach: a case study of Turkey

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  • Ozturk, Harun Kemal
  • Ceylan, Halim
  • Canyurt, Olcay Ersel
  • Hepbasli, Arif

Abstract

This paper describes the use of stochastic search processes that are the basis of genetic algorithms (GAs), in developing Turkey's electric energy estimation. The industrial sector electricity consumptions and the totals are estimated, based on the basic indicators of the gross national product, population, import and export figures. Two different non-linear estimation models are developed using GA. Developed models are validated with actual data, while future estimation of electricity demand is projected between 2002 and 2025. It may be concluded that the both GAs can possibly be applied to estimate electric energy consumption.

Suggested Citation

  • Ozturk, Harun Kemal & Ceylan, Halim & Canyurt, Olcay Ersel & Hepbasli, Arif, 2005. "Electricity estimation using genetic algorithm approach: a case study of Turkey," Energy, Elsevier, vol. 30(7), pages 1003-1012.
    • Handle: RePEc:eee:energy:v:30:y:2005:i:7:p:1003-1012
    DOI: 10.1016/j.energy.2004.08.008
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    References listed on IDEAS

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    1. Ozturk, Harun Kemal & Ceylan, Halim & Hepbasli, Arif & Utlu, Zafer, 2004. "Estimating petroleum exergy production and consumption using vehicle ownership and GDP based on genetic algorithm approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(3), pages 289-302, June.
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