Determining the most important variables for diffuse solar radiation prediction using adaptive neuro-fuzzy methodology; Case study: City of Kerman, Iran

Renewable and Sustainable Energy Reviews

Volumn 53, Issue , 2016, Pages 1570-1579

  Mohammadi, Kasra ^a   Shamshirband, Shahaboddin ^b   Petković, Dalibor ^c   Khorasanizadeh, Hossein ^d  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c UNIVERSITY OF NI   (Serbia)

^d UNIVERSITY OF KASHAN   (Iran)

Author keywords

ANFIS; Diffuse solar radiation; Influential parameters; Prediction; Variable selection

Indexed keywords

ERRORS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; MEAN SQUARE ERROR; SOLAR RADIATION;

ADAPTIVE NEURO-FUZZY; ADAPTIVE NEURO-FUZZY INFERENCE; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CASE-STUDIES; DIFFUSE SOLAR RADIATIONS; INFLUENTIAL PARAMETER; NEURO-FUZZY INFERENCE SYSTEMS; SOLAR RADIATION PREDICTIONS; SYSTEM MODELS; VARIABLES SELECTIONS;

FORECASTING;

EID: 84944104542     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2015.09.028     Document Type: Review

References (55)

1. R.R. Hernandez, S.B. Easter, M.L. Murphy-Mariscal, F.T. Maestre, M. Tavassoli, E.B. Allen, and et al. Environmental impacts of utility-scale solar energy Renew Sustain Energy Rev 29 2014 766 779
2. S.E. Hosseini, A.M. Andwari, M.A. Wahid, and G. Bagheri A review on green energy potentials in Iran Renew Sustain Energy Rev 27 2013 533 545
3. U. Desideri, F. Zepparelli, V. Morettini, and E. Garroni Comparative analysis of concentrating solar power and photovoltaic technologies: technical and environmental evaluations Appl Energy 102 2013 765 784
4. S. Mekhilef, R. Saidur, and A. Safari A review on solar energy use in industries Renew Sustain Energy Rev 15 2011 1777 1790
5. M. Diagne, M. David, P. Lauret, J. Boland, and N. Schmutz Review of solar irradiance forecasting methods and a proposition for small-scale insular grids Renew Sustain Energy Rev 27 2013 65 76
6. 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
7. G. Notton, C. Paoli, S. Vasileva, M.L. Nivet, J.L. Canaletti, and C. Cristofari Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks Energy 39 2012 166 179
8. K. Ulgen, and A. Hepbasli Diffuse solar radiation estimation models for Turkey's big cities Energy Convers Manag 50 2009 149 156
9. I. Karakoti, B. Pande, and K. Pandey Evaluation of different diffuse radiation models for Indian stations and predicting the best fit model Renew Sustain Energy Rev 15 2011 2378 2384
10. H. Li, X. Bu, Z. Long, L. Zhao, and W. Ma Calculating the diffuse solar radiation in regions without solar radiation measurements Energy 44 2012 611 615
11. T.E. Boukelia, M.-S. Mecibah, and I.E. Meriche General models for estimation of the monthly mean daily diffuse solar radiation (Case study: Algeria) Energy Convers Manag 81 2014 211 219
12. M. Iqbal Correlation of average diffuse and beam radiation with hours of Bright sunshine Sol Energy 23 1979 169 173
13. S. Barbaro, G. Cannata, S. Coppolono, C. Leone, and E. Sinagra Diffuse solar radiation statistics for Italy Sol Energy 26 1981 429 435
14. A. Khogali, Ramadan MRI, Ali ZEH, and Y.A. Fattah Global and diffuse irradiance in Yemen (Y.A.R) Sol Energy 31 1983 55 62
15. Page JK. The estimation of monthly mean values of daily total short-wave radiation on vertical and inclined surfaces from sunshine records for latitudes40-N-40-S. In: Proceedings of UN conference on new sources of energy. Rome, Italy, United Nations, Paper No. 598; 21-31 August 1961. vol. 4, pp. 378-90.
16. M. Iqbal A study of Canadian Diffuse and total solar radiation data-I. Monthly average daily horizontal radiation Sol Energy 22 1979 81 86
17. S.A. Klein Calculation of monthly average insolation on titled surfaces Sol Energy 19 4 1977 325 329
18. 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
19. K.K. Gopinathan, and A. Soler Diffuse Radiation models and monthly-average, daily diffuse data for a wide latitude range Energy 20 7 1995 65 67
20. K.K. Gopinathan, and A. Soler Effect of sunshine and solar declination on the computation of monthly mean daily diffuse solar radiation Renew Energy 7 1996 89 93
21. G. Lewis Diffuse irradiation over Zimbabwe Sol Energy 31 1983 125 128
22. M. Bashahu Statistical comparison of models for estimating the monthlyaverage daily diffuse radiation at a subtropical African site Sol Energy 75 2003 43 51
23. H. Li, W. Ma, X. Wang, and Y.W. Lian Estimating monthly average daily diffuse solar radiation with multiple predictors: a case study Renew Energy 36 2011 1944 1948
24. J. Mubiru, and Banda EJKB Performance of empirical correlations for predicting monthly mean daily diffuse solar radiation values at Kampala, Uganda Theor Appl Climatol 88 2007 127 131
25. H. Li, X. Bu, Y.W. Lian, L. Zhao, and W. Ma Further investigation of empirically derived models with multiple predictors in estimating monthly average daily diffuse solar radiation over China Renew Energy 44 2012 469 473
26. I. Karakoti, P.K. Das, and S.K. Singh Predicting monthly mean daily diffuse radiation for India Appl Energy 91 2012 412 425
27. Boland J, Scott L. Predicting the Diffuse Fraction of Global Solar Radiation using Regression and Fuzzy Logic. In: Proceedings of the ANZSES conference. Geelong; Nov 1999.
28. J. Soares, A.P. Oliveira, M.Z. Boznar, P. Mlakar, J.F. Escobedo, and A.J. Machado Modeling hourly diffuse solar-radiation in the city of São Paulo using a neural-network technique Appl Energy 79 2004 201 214
29. H.K. Elminir, Y.A. Azzam, and F.I. Younes Prediction of hourly and daily diffuse fraction using neural network, as compared to linear regression models Energy 32 2007 1513 1523
30. Y. Jiang Prediction of monthly mean daily diffuse solar radiation using artificial neural networks and comparison with other empirical models Energy Policy 36 2008 3833 3837
31. S. Alam, S.C. Kaushik, and S.N. Garg Assessment of diffuse solar energy under general sky condition using artificial neural network Appl Energy 86 2009 554 564
32. Lazarevska E, Trpovski J. A Neuro-Fuzzy Model of the Solar Diffuse Radiation with Relevance Vector Machine. In: Proceedings of the 11th International Conference on Electrical Power Quality and Utilisation (EPQU). 2011. 1-6. 10.1109/EPQU.2011.6128803
33. M.A. Behrang, E. Assareh, A. Ghanbarzadeh, and A.R. Noghrehabadi The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data Sol Energy 84 2010 1468 1480
34. F.S. Tymvios, C.P. Jacovides, S.C. Michaelides, and C. Scouteli Comparative study of Angströms and artificial neural networks' methodologies in estimating global solar radiation Sol Energy 78 2005 752 762
35. M. Benghanem, A. Mellit, and S.N. Alamri ANN-based modelling and estimation of daily global solar radiation data: a case study Energy Convers Manag 50 2009 1644 1655
36. E.S. Mostafavi, S. Saeidi 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
37. M. Ozgoren, M. Bilgili, and B. Sahin Estimation of global solar radiation using ANN over Turkey Expert Syst Appl 39 2012 5043 5051
38. A. Koca, H.F. Oztop, Y. Varol, and G.O. Koca Estimation of solar radiation using artificial neural networks with different input parameters for Mediterranean region of Anatolia in Turkey Expert Syst Appl 38 2011 8756 8762
39. S. Bhardwaj, V. Sharma, S. Srivastava, O.S. Sastry, B. B. Bandyopadhyay, S.S. Chandel, and et al. Estimation of solar radiation using a combination of Hidden Markov Model and generalized Fuzzy model Sol Energy 93 2013 43 54
40. R. Yacef, M. Benghanem, and A. Mellit Prediction of daily global solar irradiation data using Bayesian neural network: a comparative study Renew Energy 48 2012 146 154
41. J.L. Bosch, G. López, and F.J. Batlles Daily solar irradiation estimation over a mountainous area using artificial neural networks Renew Energy 33 2008 1622 1628
42. A. Will, J. Bustos, M. Bocco, J. Gotaya, and C. Lamelas On the use of niching genetic algorithms for variable selection in solar radiation estimation Renew Energy 50 2013 168 176
43. A.K. Yadav, H. Malik, and S.S. Chandel Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models Renew Sustain Energy Rev 31 2014 509 519
44. A.K. Yadav, and S.S. Chandel Solar energy potential assessment of western Himalayan Indian state of Himachal Pradesh using J48 algorithm of WEKA in ANN based prediction model Renew Energy 75 2015 675 693
45. G. López, F.J. Batlles, and J. Tovar-Pescador Selection of input parameters to model direct solar irradiance by using artificial neural networks Energy 30 2005 1675 1684
46. M. Kottek, J. Grieser, C. Beck, B. Rudolf, and F. Rubel World map of the Koppen-Geiger climate classification updated Meteorol Z 15 3 2006 259 263
47. H. Khorasanizadeh, K. Mohammadi, and M. Jalilvand A statistical comparative study to demonstrate the merit of day of the year-based models for estimation of horizontal global solar radiation Energy Convers Manag 87 2014 37 47
48. M. Bortolini, M. Gamberi, A. Graziani, R. Manzini, and C. Mora Multi-location model for the estimation of the horizontal daily diffuse fraction of solar radiation in Europe Energy Convers Manag 67 2013 208 216
49. R. Claywell, T. Muneer, and M. Asif An efficient method for assessing the quality of large solar irradiance datasets J Sol Energy Eng 127 2005 150 152
50. S. Younes, R. Claywell, and T. Muneer Quality control of solar radiation data: Present status and proposed new approaches Energy 30 2005 1533 1549
51. J.-S.R. Jang ANFIS: adaptive-network-based fuzzy inference system IEEE Trans Syst Man Cybernet 23 3 1993 665 685
52. J.-S.R. Jang, C.-T. Sun, and E. Mizutani Neurofuzzy and soft computing: a computational approach to learning and machine intelligence 1997 Prentice-Hall Upper Saddle River, NY
53. J.A. Roubos, S. Mollov, R. Babuška, and H.B. Verbruggen Fuzzy model-based predictive control using Takagi-Sugeno models Int J Approx Reason 22 1999 3 30
54. M. Sugeno, and G.T. Kang Structure identification of fuzzy model Fuzzy Set Syst 28 1998 15 33
55. J.A. Duffie, and W.A. Beckman Solar engineering of thermal processes 3rd ed 2006 John Wiley & Son New York