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Statistical modeling of the daily global solar radiationin Queensland, Australia |
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| รหัสดีโอไอ | |
| Creator | Mohammed Mohammed El Genidy |
| Title | Statistical modeling of the daily global solar radiationin Queensland, Australia |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2562 |
| Journal Title | Songklanakarin Journal of Science and Technology |
| Journal Vol. | 41 |
| Journal No. | 6 |
| Page no. | 1381-1389 |
| Keyword | generalized extreme value distribution, moments method, Kolmogorov-Smirnov test, multiple nonlinear regression |
| URL Website | http://rdo.psu.ac.th/sjstweb/index.php |
| ISSN | 0125-3395 |
| Abstract | Daily global solar radiation (DGSR) is a renewable energy source that cannot be depleted. Many researchers have usedthe sample method to collect the dataset of DGSR to obtain the statistical characteristics of the population. However, since this isdifficult, descriptive statistics and statistical inference became the primary objective of obtaining the characteristics of thestatistical population. In this study, a statistical model combined with generalized extreme value (GEV) distribution is proposedto represent the dataset of DGSR. The moments method, the Kolmogorov-Smirnov test, and the properties of GEV were performed to estimate the parameters of GEV and check the validity of the estimated parameters with the actual dataset of DGSR.Nonlinear regression and multiple nonlinear regression of GEV with its corresponding days during a year were produced.Eventually, a flowchart was designed to obtain the close probability distribution of the DGSR. |
