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Application of probability models to Malaysian sunshine data


Citation

Sulaiman, Mohd Yusof and Win, Maw Hlaing Oo and Abdul Wahab, Mahdi and Zakaria, Azmi (1998) Application of probability models to Malaysian sunshine data. International Journal of Energy Research, 22 (9). pp. 833-842. ISSN 0363-907X; ESSN: 1099-114X

Abstract

A 10-year Malaysian sunshine data of four stations were fitted to three models, namely the Bendt, Hollands and Huget and Saunier models. Distribution parameters of the models were determined from the values of the observed mean of the sunshine data. The Kolmogorov–Smirnov test was applied to determine the goodness of fit. It was found that the Saunier model was suitable for the Petaling Jaya and Subang stations while the Hollands and Huget model well suited the Bayan Lepas and Kota Bharu stations. The Bendt model did not give a good fit for all stations. It was also found that for the months that have the same observed mean but different observed standard deviations the distribution models were able to fit well only if the estimated standard deviations were close in value to the observed standard deviations.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science and Environmental Studies
DOI Number: https://doi.org/10.1002/(SICI)1099-114X(199807)22:9<833::AID-ER405>3.0.CO;2-A
Publisher: John Wiley & Sons
Keywords: Clearness index; Cumulative distribution function; Probability density function; Sunshine duration
Depositing User: Nabilah Mustapa
Date Deposited: 05 Sep 2017 08:38
Last Modified: 05 Sep 2017 08:38
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1002/(SICI)1099-114X(199807)22:9<833::AID-ER405>3.0.CO;2-A
URI: http://psasir.upm.edu.my/id/eprint/51685
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