移动最小二乘法中使用不同加权函数的新型太阳辐射估算模型

IF 0.8 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Ayse Gul Kaplan
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引用次数: 0

摘要

本研究采用移动最小二乘法(MLSA)对选定区域的太阳辐射(SR)进行估算。在使用移动最小二乘法建立新模型时,使用了三种不同的加权函数,即高斯函数、三次样条函数和温德兰函数。为了估算选定区域的月日均全球 SR,对一些修正的 Angström 型方程的兼容性进行了测试。通过与测量值和方程求得的值进行比较,找到了最合适的方程。本文使用了六种不同的统计误差分析测试,以比较新提出模型的性能。根据所选区域的结果,获得最佳性能值的加权函数是三次样条加权函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The New Solar Radiation Estimation Models Using Different Weight Functions in the Moving Least Squares Approach

The New Solar Radiation Estimation Models Using Different Weight Functions in the Moving Least Squares Approach

In this study, moving least squares approach (MLSA) is used for solar radiation (SR) estimation in the selected region. While developing new models with the MLSA, three different weight functions which are Gaussian, cubic spline and Wendland are used. The compatibility of some modified Angström-type equations were tested to estimate of monthly average daily global SR at selected region. The most suitable equation was found by comparing with the values measured and obtained from the equation. In this paper, six different statistical error analysis tests are used in order to compare the performance of new proposed models. According to the results obtained in the selected region, the weight function for which the best performance values are obtained is the cubic spline weight function.

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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
37
审稿时长
>12 weeks
期刊介绍: To promote research in all the branches of Science & Technology; and disseminate the knowledge and advancements in Science & Technology
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