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Modeling and Application of Genetic Algorithm (GA) Approach to Estimating the Future Total Energy Input Values

机译:遗传算法(GA)估算未来总能源输入值的建模和应用

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摘要

This study deals with the modeling and developing the energy input estimation equations in order to estimate the future projections based on genetic algorithm (GA) notion. In this regard, the GA future prediction of total energy input estimation model (GAFPTEIEM) is used to better estimate the future energy input demand based on the economic and social indicators of gross domestic product (GDP), population, import, export, house production, cement production, and basic house appliances consumption figures. The models proposed here can be used as an alternative solution and estimation techniques to available estimation techniques. It is also expected that this study will be helpful in developing highly applicable and productive planning for energy policies.
机译:这项研究涉及建模和开发能量输入估算方程,以便基于遗传算法(GA)概念估算未来的预测。在这方面,GA总能源输入预测模型(GAFPTEIEM)的未来预测可用于根据国内生产总值(GDP),人口,进口,出口,房屋生产的经济和社会指标更好地估计未来能源输入需求,水泥产量和基本家用电器消耗量数据。这里提出的模型可以用作可用估计技术的替代解决方案和估计技术。还可以预期,该研究将有助于制定高度适用和富有成效的能源政策规划。

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