Energy demand estimation based on two-different genetic algorithm approaches

Canyurt O. E., Ceylan H., Ozturk H., Hepbasli A.

ENERGY SOURCES, cilt.26, sa.14, ss.1313-1320, 2004 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 14
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1080/00908310490441610
  • Dergi Adı: ENERGY SOURCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1313-1320
  • Anahtar Kelimeler: energy, energy demand, energy modeling, energy planning, future projections, genetic algorithm, Turkey, IMPLEMENTATION, CANADA
  • Gazi Üniversitesi Adresli: Hayır

Özet

Energy modeling is a subject of widespread current interest among engineers and scientists concerned with problems of energy production and consumption. Energy planning is not possible without a reasonable knowledge of past and present energy consumption and likely future demands. In this study, two forms of the energy demand equations are developed in order to improve energy demand estimation efficiency for future projections based on the genetic algorithm (GA) notion. The genetic algorithm energy demand (GAEDM) model is used to estimate Turkey's future energy demand based on gross domestic product, population, import, and export figures. Both equations proposed here are non-linear, of which one is exponential and the other is quadratic. The quadratic form of the GAEDM model provided a slightly better fit solution to the observed data and can be used with a high correlation coefficient for Turkey's future energy projections. It is expected that this study will be helpful in developing highly applicable and productive planning for energy policies.