| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10682901 | Energy | 2005 | 10 Pages |
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.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Harun Kemal Ozturk, Halim Ceylan, Olcay Ersel Canyurt, Arif Hepbasli,