An evolutionary computing approach for estimating global solar radiation

Rami Al-Hajj, A. Assi, Farhan Batch
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引用次数: 9

Abstract

This paper presents a non-linear regression model based on an evolutionary computing technique namely the genetic programming for estimating solar radiation. This approach aims to estimate the best formula that represents the function for estimating the global solar radiation on horizontals with respect to the measured climatological data. First, we present a reference approach to find one global formula that models the relation among the solar radiation amount and a set of weather factors. In the second step, we present an enhanced approach that consists of multi formulas of regression in a parallel structure. The performance of the proposed approaches has been evaluated using statistical analysis measures. The obtained results were promising and comparable to those obtained by other empirical and neural models conducted by other research groups.
估算全球太阳辐射的进化计算方法
本文提出了一种基于进化计算技术——遗传规划的非线性回归模型,用于估算太阳辐射。这种方法的目的是估计最佳公式,该公式表示相对于测量到的气候资料在水平方向上估计全球太阳辐射的函数。首先,我们提出了一种参考方法来寻找一个模拟太阳辐射量与一组天气因子之间关系的全局公式。在第二步中,我们提出了一种由并行结构中的多个回归公式组成的增强方法。采用统计分析方法对所提出方法的性能进行了评估。所获得的结果是有希望的,并可与其他研究组进行的其他经验和神经模型的结果相媲美。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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