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

被引：111

作者：

Ozturk, HK

Ceylan, H

Canyurt, OE

Hepbasli, A ^{[1
]}

机构：

[1] Ege Univ, Fac Engn, Dept Mech Engn, Izmir, Turkey

[2] Pamukkale Univ, Fac Engn, TR-20020 Denizli, Turkey

来源：

ENERGY | 2005年 / 30卷 / 07期

关键词：

D O I：

10.1016/j.energy.2004.08.008

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

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. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：1003 / 1012

页数：10

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