利用三种不同的遗传算法估算能源和火用生产和消耗值。第2部分:应用程序和场景

H. Ceylan, H. Ozturk, A. Hepbasli, Z. Utlu
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引用次数: 31

摘要

摘要本研究的主要目的是探讨遗传算法(GA)方法在各种情景下的应用,用于未来能源和火用生产和消费值的估计。本研究第1部分中详细介绍的方法已应用于土耳其的能源和能源利用价值。在所有情况下都获得了良好的相关性,表明所提出的模型的有效性,可用于估计土耳其2000-2020年期间的能源和能源生产和消费总量。可以得出的结论是,这里报告的模型将向调查人员提供关于一个国家如何在能源和能源利用方面对其自然资源进行建模的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Energy and Exergy Production and Consumption Values Using Three Different Genetic Algorithm Approaches. Part 2: Application and Scenarios
Abstract The main objective of the present study is to investigate the application of the genetic algorithm (GA) method with various scenarios for the future estimation of the energy and exergy production and consumption values. The methodology developed and presented in detail in Part 1 of this study was applied to Turkey's energy and exergy utilization values. Good correlations were obtained in all cases, indicating the validity of the models proposed that can be used to estimate total energy and exergy production and consumption of Turkey for the period of 2000–2020. It may be concluded that the models reported here will provide the investigators with knowledge about how a country can model its natural resources in terms of energy and exergy utilizations.
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