Prediction of the solar radiation on the Earth using support vector regression technique

Infrared Physics and Technology

Volumn 68, Issue , 2015, Pages 179-185

  Piri, Jamshid ^a   Shamshirband, Shahaboddin ^b   Petković, Dalibor ^c   Tong, Chong Wen ^b   Rehman, Muhammad Habib Ur ^b  

^a UNIVERSITY OF ZABOL   (Iran)

^b Department of Computer Systems and Technology Faculty of Computer Science and Information Technology University of Malaysia ^*  (Malaysia)

^c UNIVERSITY OF NI   (Serbia)

Author keywords

Soft computing methodologies; Solar radiation; Sunshine hour; SVR

Indexed keywords

RADIAL BASIS FUNCTION NETWORKS; SOFT COMPUTING; SUN; WATER RESOURCES;

DAILY SOLAR RADIATIONS; ENVIRONMENTAL FACTORS; RADIAL BASIS FUNCTION(RBF); SOFT COMPUTING METHODOLOGIES; SOFTCOMPUTING TECHNIQUES; SUNSHINE HOUR; SUPPORT VECTOR REGRESSION (SVR); SVR;

SOLAR RADIATION;

EID: 84919898094     PISSN: 13504495     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infrared.2014.12.006     Document Type: Article

References (28)

1. S. Ananthakrishnan, R. Prasad, D. Stallard, and P. Natarajan Batch-mode semi-supervised active learning for statistical machine translation Comput. Speech Lang. 27 2013 397 406
2. Y.A.G. Abdallah New correlation of global solar radiation with meteorological parameters for Bahrain Sol. Energy 16 1994 111 120
3. A. Angstrom Solar and terrestrial radiation Q. J. Roy. Meteor. Soc. 50 1924 121 126
4. V. Bahlel, H. Bakhsh, and R. Srinivasan A correlation for estimation of global solar radiation Energy 12 2 1987 131 135
5. K. Bakirci Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey Energy 34 4 2009 485 501
6. J.L. Chen, H.B. Liu, W. Wu, and D.T. Xie Estimation of monthly solar radiation from measured temperatures using support vector machines-a case study Renew. Energy 36 2011 413 420
7. H.Y. Cheng, C.C. Chih-Chang Yu, and S.J. Lin Bi-model short-term solar irradiance prediction using support vector regressors Energy 70 2014 121 127
8. F.J. Casares, R. Lopez-Luque, R. Posadillo, and M. Varo-Martinez Mathematical approach to the characterization of daily energy balance in autonomous photovoltaic solar systems Energy 72 2014 393 404
9. K. Dahmani, R. Dizene, G. Notton, C. Paoli, C. Voyant, and M.L. Nivet Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model Energy 70 2014 374 381
10. B.B. Ekici A least squares support vector machine model for prediction of the next day solar insolation for effective use of PV systems Measurement 50 2014 255 262
11. H. Khorasanizadeh, and K. Mohammadi Prediction of daily global solar radiation by day of the year in four cities located in the sunny regions of Iran Energ. Convers. Manage. 76 2013 385 392
12. O. Kisi Modeling solar radiation of Mediterranean region in Turkey by using fuzzy genetic approach Energy 64 2014 429 436
13. E. Khorasaninejad, and H. Hajabdollahi Thermo-economic and environmental optimization of solar assisted heat pump by using multi-objective particle swam algorithm Energy 72 2014 680 690
14. E.S. Mostafavi, S.S. Ramiyani, R. Sarvar, H. Izadi Moud, and S.M. Mousavi A hybrid computational approach to estimate solar global radiation: an empirical evidence from Iran Energy 49 2013 204 210
15. R. Marquez, and C.F.M. Coimbra Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database Sol. Energy 85 2011 746 756
16. M.T. Dastorani, A. Moghadamnia, J. Piri, and M. Rico Ramirez jamalizadeh Application of ANN and ANFIS models for reconstructing missing flow data, Electronic supplementary material Environ. Monit. Assess 10 2009 1007 1012
17. J. Mubiru, and E.J.K.B. Banda Estimation of monthly average daily global solar irradiation using artificial neural networks Sol. Energy 82 2 2008 181 187
18. L. Ornella, and E. Tapia Supervised machine learning and heterotic classification of maize (Zea mays L.) using molecular marker data Comput. Electron. Agric. 74 2010 250 257
19. J. Piri, S. Amin, A. Moghaddamnia, D. Han, and D. Remesun Daily pan evaporation modelling is hot and dry climate J. Hydrol. Eng. 14 2009 803 811
20. M.D.J. Powell The theory of radial basis functions approximation in 1990 W.A. Light, Advances in Numerical Analysis Wavelets, Subdivision Algorithms and Radial Basis Functions vol. II 1992 Oxford University 105 210
21. S. Rehman, and M. Mohandes Artificial neural network estimation of global solar radiation using air temperature and relative humidity Energy. Policy 36 2008 571 576
22. S.E. Rusen, A. Hammer, and B.G. Akinoglu Estimation of daily global solar irradiation by coupling ground measurements of bright sunshine hours to satellite imagery Energy 58 2013 417 425
23. M. Rizwan, M. Jamil, S. Kirmani, and D.P. Kothari Fuzzy logic based modeling and estimation of global solar energy using meteorological parameters Energy 70 2014 685 691
24. M. Sabzpooshani, and K. Mohammadi Establishing new empirical models for predicting monthly mean horizontal diffuse solar radiation in city of Isfahan Iran. Energy 69 2014 571 577
25. F.S. Tymvios, C.P. Jacovides, S.C. Michaelides, and C. Scouteli Comparative study of Angstrom's and artificial neural networks' methodologies in estimating global solar radiation Sol. Energy 78 2006 752 762
26. V.N. Vapnik The Support Vector Method of Function Estimation, Nonlinear Modeling, Advanced Black-Box Techniques 1998 Springer US pp. 55-85. http://dx.doi.org/10.1007/978-1-4615-5703-6-3
27. Z. Wei, T. Tao, D. ZhuoShu, and E. Zio A dynamic particle filter-support vector regression method for reliability prediction Reliab. Eng. Syst. Safe. 119 2013 109 116
28. J. Zeng, and W. Qiao Short-term solar power prediction using a support vector machine Renew. Energy 52 2013 118 127