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Solar Energy Prediction for Malaysia Using Artificial Neural Networks
Joint Authors
Khatib, Tamer
Sopian, Kamaruzzaman
Mahmoud, M.
Mohamed, Azah
Source
International Journal of Photoenergy
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-03
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper presents a solar energy prediction method using artificial neural networks (ANNs).
An ANN predicts a clearness index that is used to calculate global and diffuse solar irradiations.
The ANN model is based on the feed forward multilayer perception model with four inputs and one output.
The inputs are latitude, longitude, day number, and sunshine ratio; the output is the clearness index.
Data from 28 weather stations were used in this research, and 23 stations were used to train the network, while 5 stations were used to test the network.
In addition, the measured solar irradiations from the sites were used to derive an equation to calculate the diffused solar irradiation, a function of the global solar irradiation and the clearness index.
The proposed equation has reduced the mean absolute percentage error (MAPE) in estimating the diffused solar irradiation compared with the conventional equation.
Based on the results, the average MAPE, mean bias error and root mean square error for the predicted global solar irradiation are 5.92%, 1.46%, and 7.96%.
The MAPE in estimating the diffused solar irradiation is 9.8%.
A comparison with previous work was done, and the proposed approach was found to be more efficient and accurate than previous methods.
American Psychological Association (APA)
Khatib, Tamer& Mohamed, Azah& Sopian, Kamaruzzaman& Mahmoud, M.. 2012. Solar Energy Prediction for Malaysia Using Artificial Neural Networks. International Journal of Photoenergy،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-470747
Modern Language Association (MLA)
Khatib, Tamer…[et al.]. Solar Energy Prediction for Malaysia Using Artificial Neural Networks. International Journal of Photoenergy No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-470747
American Medical Association (AMA)
Khatib, Tamer& Mohamed, Azah& Sopian, Kamaruzzaman& Mahmoud, M.. Solar Energy Prediction for Malaysia Using Artificial Neural Networks. International Journal of Photoenergy. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-470747
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470747