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

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...

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Bibliographic Details
Published in:Energy (Oxford) 2005-06, Vol.30 (7), p.1003-1012
Main Authors: Ozturk, Harun Kemal, Ceylan, Halim, Canyurt, Olcay Ersel, Hepbasli, Arif
Format: Article
Language:English
Subjects:
Applied sciences
Economic data
Electric energy
Energy
Energy economics
Exact sciences and technology
General, economic and professional studies
Methodology. Modelling
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Summary: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.
ISSN:0360-5442
DOI:10.1016/j.energy.2004.08.008