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International Journal of Photoenergy
Volume 2012, Article ID 946890, 7 pages
http://dx.doi.org/10.1155/2012/946890
Research Article

Assessment of Artificial Neural Networks for Hourly Solar Radiation Prediction

1Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor, Bangi 43600, Malaysia
2Solar Energy Research Institute, Universiti Kebangsaan Malaysia, Selangor, Bangi 43600, Malaysia
3Department of Electrical Engineering, Engineering Faculty, An-Najah National University, Nablus 97300, Palestine

Received 14 January 2012; Accepted 24 February 2012

Academic Editor: Jincai Zhao

Copyright © 2012 Tamer Khatib et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Tamer Khatib, Azah Mohamed, K. Sopian, and M. Mahmoud, “Assessment of Artificial Neural Networks for Hourly Solar Radiation Prediction,” International Journal of Photoenergy, vol. 2012, Article ID 946890, 7 pages, 2012. https://doi.org/10.1155/2012/946890.