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Predicting Global Solar Radiation Using an Artificial Neural Network Single-Parameter Model
Joint Authors
Angela, Karoro
Taddeo, Ssenyonga
Mubiru, James
Source
Advances in Artificial Neural Systems
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-11-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
We used five years of global solar radiation data to estimate the monthly average of daily global solar irradiation on a horizontal surface based on a single parameter, sunshine hours, using the artificial neural network method.
The station under the study is located in Kampala, Uganda at a latitude of 0.19°N, a longitude of 32.34°E, and an altitude of 1200 m above sea level.
The five-year data was split into two parts in 2003–2006 and 2007-2008; the first part was used for training, and the latter was used for testing the neural network.
Amongst the models tested, the feed-forward back-propagation network with one hidden layer (65 neurons) and with the tangent sigmoid as the transfer function emerged as the more appropriate model.
Results obtained using the proposed model showed good agreement between the estimated and actual values of global solar irradiation.
A correlation coefficient of 0.963 was obtained with a mean bias error of 0.055 MJ/m2 and a root mean square error of 0.521 MJ/m2.
The single-parameter ANN model shows promise for estimating global solar irradiation at places where monitoring stations are not established and stations where we have one common parameter (sunshine hours).
American Psychological Association (APA)
Angela, Karoro& Taddeo, Ssenyonga& Mubiru, James. 2011. Predicting Global Solar Radiation Using an Artificial Neural Network Single-Parameter Model. Advances in Artificial Neural Systems،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-495899
Modern Language Association (MLA)
Angela, Karoro…[et al.]. Predicting Global Solar Radiation Using an Artificial Neural Network Single-Parameter Model. Advances in Artificial Neural Systems No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-495899
American Medical Association (AMA)
Angela, Karoro& Taddeo, Ssenyonga& Mubiru, James. Predicting Global Solar Radiation Using an Artificial Neural Network Single-Parameter Model. Advances in Artificial Neural Systems. 2011. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-495899
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495899