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首页> 外文期刊>Energy Policy >Estimating the Turkish residential-commercial energy output based on genetic algorithm (GA) approaches
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Estimating the Turkish residential-commercial energy output based on genetic algorithm (GA) approaches

机译：基于遗传算法（GA）的土耳其住宅商业能源输出估算

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摘要

The present study develops three forms of equations to better analyze energy use and make future projections based on genetic algorithm (GA) notion, and examines the effect of the design parameters on the energy utilization values. The models developed in the quadratic form are applied to Turkey, which is selected as an application country. Turkey's future residential energy output demand is estimated based on GDP, population, import, export, house production, cement production and basic house appliances consumption figures. Among these models, the so-called GA-RWTVR model, which uses residential housing production, house appliances sales of washing machine, television, vacuum cleaner and refrigerator as design parameters/indicators, was found to provide the best fit solution to the observed data. It may be concluded that the models proposed can be used as an alternative solution and estimation techniques to available estimation techniques in predicting the future energy utilization values of countries.
机译：本研究开发了三种形式的方程式，以基于遗传算法（GA）概念更好地分析能源使用情况并做出未来预测，并研究了设计参数对能源利用价值的影响。以二次形式开发的模型应用于土耳其，该土耳其被选为申请国。土耳其未来的住宅能源输出需求是根据GDP，人口，进口，出口，房屋生产，水泥生产和基本家用电器消耗量估算的。在这些模型中，发现了以住宅生产，洗衣机​​，电视，吸尘器和冰箱的家用电器销售为设计参数/指标的所谓GA-RWTVR模型，它为所观察到的数据提供了最佳的解决方案。 。可以得出结论，在预测各国未来的能源利用价值时，所提出的模型可以用作可用的估算技术的替代解决方案和估算技术。

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