Splitting global solar radiation into diffuse and direct normal fractions using artificial neural networks

Energy Sources, Part A: Recovery, Utilization and Environmental Effects

Volumn 34, Issue 14, 2012, Pages 1326-1336

  Rehman, S ^a   Mohandes, M ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Ambient temperature; Diffuse solar radiation; Direct normal solar radiation; Global solar radiation; Meteorology; Neural networks; Radial basis functions; Relative humidity

Indexed keywords

DATA COLLECTION; GLOBAL SOLAR RADIATION; INPUT PARAMETER; MEASURED DATA; MODEL RESULTS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RADIATION FRACTIONS;

ALUMINUM; ATMOSPHERIC HUMIDITY; ESTIMATION; METEOROLOGY; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SOLAR RADIATION; TEMPERATURE;

SUN;

EID: 84863330878     PISSN: 15567036     EISSN: 15567230     Source Type: Journal    
DOI: 10.1080/15567031003792403     Document Type: Article

References (18)

1. Bishop, C. M. 1996. Neural Networks for Pattern Recognition. Oxford, UK: Oxford University Press.
2. Cadenas, E., and Rivera, W. 2007. Wind speed forecasting in the South Coast of Oaxaca, México. Renew. Energy 32:2116-2128. (Pubitemid 46394521)
3. Elminir, H. K., Areed, F. F., and Elsayed, T. S. 2005. Estimation of solar radiation components incident on Helwan site using neural networks. Solar Energy 79:270-279.
4. Haykin, S. 1998. Neural Networks: A Comprehensive Foundation, Second Edition. New York: Macmillan College Publishing.
5. Lopez, G., Batlles, F. J., and Tovar-Pescador, J. 2005. Selection of input parameters to model direct solar irradiance by using artificial neural networks. Energy 30:1675-1684. (Pubitemid 39605996)
6. Mellit, M. B., and Kalogirou, S. A. 2006. An adaptive wavelet-network model for forecasting daily total solar-radiation. Appl. Energy 83:705-722. (Pubitemid 43744390)
7. Mellit, M. B., Hadj, A. A., and Guessoum, A. 2005. An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: Application for isolated sites in Algeria. Renew. Energy 30:1501-1524.
8. Mohandes, M., Balghonaim, A., Kassas, M., Rehman, S., and Halawani, T. O. 2000. Use of radial basis function for estimating monthly mean daily solar radiation. Solar Energy 68:161-168. (Pubitemid 30563252)
9. Mohandes, M., Rehman, S., and Halawani, T. O. 1998. Estimation of global solar radiation using artificial neural networks. Renew. Energy 14:179-184. (Pubitemid 28466155)
10. Pai, P.-F., and Hong, W.-C. 2005. Support vector machines with simulated annealing algorithms in electricity load forecasting. Energy Convers. Manage. 46:2669-2688. (Pubitemid 40654933)
11. Rehman, S. 1998. Solar radiation over Saudi Arabia and comparisons with existing empirical models. Energy 23:1077-1082. (Pubitemid 29107877)
12. Rehman, S., and Halawani, T. O. 1997. Global solar radiation estimation. Renew. Energy 12:369-385. (Pubitemid 127426658)
13. Rehman, S., Halawani, T. O., and Husain, T. 1994. Weibull parameters for wind speed distribution in Saudi Arabia. Solar Energy 53:473-479.
14. Rehman, S., Husain, T., and Halawani, T. O. 1992. Radiative fluxes in the troposphere from upper air meteorological data in Saudi Arabia. Solar Energy 49:35-40.
15. Sozen, A., Arcakhoglu, E., Ozalp, M., and Çaǧlar, N. 2005. Forecasting based on neural network approach of solar potential in Turkey. Renew. Energy 30:1075-1090.
16. Sozen, A., Ozalp, M., Arcaklioglu, E., and Kanit, E. G. 2004. A study for estimating solar resources in Turkey using artificial neural networks. Energy Sources 26:1369-1378.
17. Tymvios, F. S., Jacovides, C. P., Michaelides, S. C., and Scouteli, C. 2005. Comparative study of Ångström's and artificial neural networks' methodologies in estimating global solar radiation. Solar Energy 78:752-762.
18. Wasserman, P. 1993. Advanced Methods in Neural Computing. New York: Van Nostrand Reinhold.