Regression Model to Predict Global Solar Irradiance in Malaysia
Joint Authors
Ahmed Kutty, Hairuniza
Masral, Muhammad Hazim
Rajendran, Parvathy
Source
International Journal of Photoenergy
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A novel regression model is developed to estimate the monthly global solar irradiance in Malaysia.
The model is developed based on different available meteorological parameters, including temperature, cloud cover, rain precipitate, relative humidity, wind speed, pressure, and gust speed, by implementing regression analysis.
This paper reports on the details of the analysis of the effect of each prediction parameter to identify the parameters that are relevant to estimating global solar irradiance.
In addition, the proposed model is compared in terms of the root mean square error (RMSE), mean bias error (MBE), and the coefficient of determination ( R 2 ) with other models available from literature studies.
Seven models based on single parameters (PM1 to PM7) and five multiple-parameter models (PM7 to PM12) are proposed.
The new models perform well, with RMSE ranging from 0.429% to 1.774%, R 2 ranging from 0.942 to 0.992, and MBE ranging from −0.1571% to 0.6025%.
In general, cloud cover significantly affects the estimation of global solar irradiance.
However, cloud cover in Malaysia lacks sufficient influence when included into multiple-parameter models although it performs fairly well in single-parameter prediction models.
American Psychological Association (APA)
Ahmed Kutty, Hairuniza& Masral, Muhammad Hazim& Rajendran, Parvathy. 2015. Regression Model to Predict Global Solar Irradiance in Malaysia. International Journal of Photoenergy،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1066458
Modern Language Association (MLA)
Ahmed Kutty, Hairuniza…[et al.]. Regression Model to Predict Global Solar Irradiance in Malaysia. International Journal of Photoenergy No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1066458
American Medical Association (AMA)
Ahmed Kutty, Hairuniza& Masral, Muhammad Hazim& Rajendran, Parvathy. Regression Model to Predict Global Solar Irradiance in Malaysia. International Journal of Photoenergy. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1066458
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1066458