메뉴 건너뛰기




Volumn 7, Issue 8, 2014, Pages 3668-3680

Mapping of the solar irradiance in the UAE using advanced artificial neural network ensemble

Author keywords

neural network applications; Neural networks; remote sensing; satellites; solar energy; solar radiation

Indexed keywords

REMOTE SENSING; SATELLITES; SOLAR ENERGY; SOLAR RADIATION;

EID: 84907936502     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2331255     Document Type: Article
Times cited : (36)

References (66)
  • 2
    • 0029217416 scopus 로고
    • Comparison of methods for estimating daily and hourly diffuse solar radiation
    • S. K. Srivastava, A. Gaur, O. P. Singh, and R. N. Tiwari, "Comparison of methods for estimating daily and hourly diffuse solar radiation," Appl. Energy, vol. 51, pp. 119-123, 1995.
    • (1995) Appl. Energy , vol.51 , pp. 119-123
    • Srivastava, S.K.1    Gaur, A.2    Singh, O.P.3    Tiwari, R.N.4
  • 3
    • 0020003036 scopus 로고
    • Acomparison of methods for estimating hourly diffuse solar radiation from global solar radiation
    • J.W. Spencer, "Acomparison of methods for estimating hourly diffuse solar radiation from global solar radiation," Solar Energy, vol. 29, pp. 19-32, 1982.
    • (1982) Solar Energy , vol.29 , pp. 19-32
    • Spencer, J.W.1
  • 4
    • 0019905267 scopus 로고
    • Estimation of the diffuse radiation fraction for hourly, daily and monthly-average global radiation
    • D. G. Erbs, S. A. Klein, and J. A. Duffie, "Estimation of the diffuse radiation fraction for hourly, daily and monthly-average global radiation," Solar Energy, vol. 28, pp. 293-302, 1982.
    • (1982) Solar Energy , vol.28 , pp. 293-302
    • Erbs, D.G.1    Klein, S.A.2    Duffie, J.A.3
  • 5
    • 33748487121 scopus 로고
    • The interrelationship and characteristic distribution of direct, diffuse and total solar radiation
    • B. Y. H. Liu and R. C. Jordan, "The interrelationship and characteristic distribution of direct, diffuse and total solar radiation," Solar Energy, vol. 4, pp. 1-19, 1960.
    • (1960) Solar Energy , vol.4 , pp. 1-19
    • Liu, B.Y.H.1    Jordan, R.C.2
  • 6
    • 0030241486 scopus 로고    scopus 로고
    • Improved ASHRAE model to predict hourly and daily solar radiation components in Botswana, Namibia, and Zimbabwe
    • N. Nijegorodov, "Improved ASHRAE model to predict hourly and daily solar radiation components in Botswana, Namibia, and Zimbabwe," Renew. Energy, vol. 9, pp. 1270-1273, 1996.
    • (1996) Renew. Energy , vol.9 , pp. 1270-1273
    • Nijegorodov, N.1
  • 7
    • 79952292301 scopus 로고    scopus 로고
    • Solar radiation models-A review
    • M. J. Ahmad and G. N. Tiwari, "Solar radiation models-A review," Int. J. Energy Res., vol. 35, pp. 271-290, 2011.
    • (2011) Int. J. Energy Res. , vol.35 , pp. 271-290
    • Ahmad, M.J.1    Tiwari, G.N.2
  • 10
    • 84975571774 scopus 로고
    • Revised optical air mass tables and approximation formula
    • F. Kasten and A. T. Young, "Revised optical air mass tables and approximation formula," Appl. Optics, vol. 28, pp. 4735-4738, 1989.
    • (1989) Appl. Optics , vol.28 , pp. 4735-4738
    • Kasten, F.1    Young, A.T.2
  • 12
    • 50549219954 scopus 로고
    • The long-term average performance of flatplate solar energy collectors
    • B. Y. Liu and R. C. Jordan, "The long-term average performance of flatplate solar energy collectors," Solar Energy, vol. 7, pp. 53-74, 1963.
    • (1963) Solar Energy , vol.7 , pp. 53-74
    • Liu, B.Y.1    Jordan, R.C.2
  • 13
    • 59649114659 scopus 로고    scopus 로고
    • Direct and indirect uncertainties in the prediction of tilted irradiance for solar engineering applications
    • C. A. Gueymard, "Direct and indirect uncertainties in the prediction of tilted irradiance for solar engineering applications," Solar Energy, vol. 83, pp. 432-444, 2009.
    • (2009) Solar Energy , vol.83 , pp. 432-444
    • Gueymard, C.A.1
  • 14
    • 0032867768 scopus 로고    scopus 로고
    • Effective accuracy of satellite-derived hourly irradiances
    • A. Zelenka, R. Perez, R. Seals, and D. Renné, "Effective accuracy of satellite-derived hourly irradiances," Theor. Appl. Climatol., vol. 62, pp. 199-207, 1999.
    • (1999) Theor. Appl. Climatol. , vol.62 , pp. 199-207
    • Zelenka, A.1    Perez, R.2    Seals, R.3    Renné, D.4
  • 17
    • 84872511269 scopus 로고    scopus 로고
    • Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images
    • Y. Eissa et al., "Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images," Solar Energy, vol. 89, pp. 1-16, 2013.
    • (2013) Solar Energy , vol.89 , pp. 1-16
    • Eissa, Y.1
  • 18
    • 84871553926 scopus 로고    scopus 로고
    • Recalibration of Heliosat-2 method for global horizontal irradiance estimation in dusty and humid environments
    • Y. Eissa, H. Ghedira, M. Chiesa, P. R. Marpu, and T. B. M. J. Ouarda, "Recalibration of Heliosat-2 method for global horizontal irradiance estimation in dusty and humid environments," in Proc. World Renew. Energy Forum, Denver, CO, USA, 2012, vol. 4, pp. 2653-2661.
    • (2012) Proc. World Renew. Energy Forum, Denver, CO, USA , vol.4 , pp. 2653-2661
    • Eissa, Y.1    Ghedira, H.2    Chiesa, M.3    Marpu, P.R.4    Ouarda, T.B.M.J.5
  • 19
    • 0242500922 scopus 로고    scopus 로고
    • A new operational model for satellite-derived irradiances: Description and validation
    • R. Perez et al., "A new operational model for satellite-derived irradiances: Description and validation," Solar Energy, vol. 73, pp. 307-317, 2002.
    • (2002) Solar Energy , vol.73 , pp. 307-317
    • Perez, R.1
  • 20
    • 0019228326 scopus 로고
    • A simple physical model to estimate incident solar radiation at the surface from GOES satellite data
    • C. Gautier, G. Diak, and S. Masse, "A simple physical model to estimate incident solar radiation at the surface from GOES satellite data," J. Appl. Meteorol., vol. 19, pp. 1005-1012, 1980.
    • (1980) J. Appl. Meteorol. , vol.19 , pp. 1005-1012
    • Gautier, C.1    Diak, G.2    Masse, S.3
  • 21
    • 34248361091 scopus 로고    scopus 로고
    • Physical model SOLARMET for determinating total and direct solar radiation by meteosat satellite images
    • E. Cogliani, P. Ricchiazzi, and A. Maccari, "Physical model SOLARMET for determinating total and direct solar radiation by meteosat satellite images," Solar Energy, vol. 81, pp. 791-798, 2007.
    • (2007) Solar Energy , vol.81 , pp. 791-798
    • Cogliani, E.1    Ricchiazzi, P.2    MacCari, A.3
  • 22
    • 0022593846 scopus 로고
    • A method for the determination of the global solar radiation from meteorological satellite data
    • D. Cano et al., "A method for the determination of the global solar radiation from meteorological satellite data," Solar Energy, vol. 37, pp. 31-39, 1986.
    • (1986) Solar Energy , vol.37 , pp. 31-39
    • Cano, D.1
  • 23
    • 0346460333 scopus 로고    scopus 로고
    • Operational method for deriving high resolution direct normal irradiance from satellite data
    • C. Schillings, H. Mannstein, and R. Meyer, "Operational method for deriving high resolution direct normal irradiance from satellite data," Solar Energy, vol. 76, pp. 475-484, 2004.
    • (2004) Solar Energy , vol.76 , pp. 475-484
    • Schillings, C.1    Mannstein, H.2    Meyer, R.3
  • 24
    • 0141680415 scopus 로고    scopus 로고
    • Solar energy assessment using remote sensing technologies
    • A. Hammer et al., "Solar energy assessment using remote sensing technologies," Remote Sens. Environ., vol. 86, pp. 423-432, 2003.
    • (2003) Remote Sens. Environ. , vol.86 , pp. 423-432
    • Hammer, A.1
  • 25
    • 3142749144 scopus 로고    scopus 로고
    • The method Heliosat-2 for deriving shortwave solar radiation from satellite images
    • C. Rigollier, M. Lefèvre, and L. Wald, "The method Heliosat-2 for deriving shortwave solar radiation from satellite images," Solar Energy, vol. 77, pp. 159-169, 2004.
    • (2004) Solar Energy , vol.77 , pp. 159-169
    • Rigollier, C.1    Lefèvre, M.2    Wald, L.3
  • 27
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • A. Krogh and J. Vedelsby, "Neural network ensembles, cross validation, and active learning," Adv. Neural Inf. Process. Syst., 1995, pp. 231-238.
    • (1995) Adv. Neural Inf. Process. Syst , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 28
    • 79952016010 scopus 로고    scopus 로고
    • Comparison of standard resampling methods for performance estimation of artificial neural network ensembles
    • Jul
    • M. Green and M. Ohlsson, "Comparison of standard resampling methods for performance estimation of artificial neural network ensembles," in Proc. 3rd Int. Conf. Comput. Intell. Med. Healthcare, Jul. 2007, pp. 25-27.
    • (2007) Proc. 3rd Int. Conf. Comput. Intell. Med. Healthcare , pp. 25-27
    • Green, M.1    Ohlsson, M.2
  • 29
    • 36649031026 scopus 로고    scopus 로고
    • Flood frequency analysis at ungauged sites using artificial neural networks in canonical correlation analysis physiographic space
    • C. Shu and T. B. M. J. Ouarda, "Flood frequency analysis at ungauged sites using artificial neural networks in canonical correlation analysis physiographic space," Water Resour. Res., vol. 43, p. W07438, 2007.
    • (2007) Water Resour. Res. , vol.43 , pp. W07438
    • Shu, C.1    Ouarda, T.B.M.J.2
  • 30
    • 72149111098 scopus 로고    scopus 로고
    • Regional low-flow frequency analysis using single and ensemble artificial neural networks
    • T. B. M. J. Ouarda and C. Shu, "Regional low-flow frequency analysis using single and ensemble artificial neural networks," Water Resour. Res., vol. 45, p. W11428, 2009.
    • (2009) Water Resour. Res. , vol.45 , pp. W11428
    • Ouarda, T.B.M.J.1    Shu, C.2
  • 31
    • 77549086197 scopus 로고    scopus 로고
    • Estimation of ice thickness on lakes using artificial neural network ensembles
    • I. Zaier, C. Shu, T. B. M. J. Ouarda, O. Seidou, and F. Chebana, "Estimation of ice thickness on lakes using artificial neural network ensembles," J. Hydrol., vol. 383, pp. 330-340, 2010.
    • (2010) J. Hydrol. , vol.383 , pp. 330-340
    • Zaier, I.1    Shu, C.2    Ouarda, T.B.M.J.3    Seidou, O.4    Chebana, F.5
  • 33
    • 37548999007 scopus 로고    scopus 로고
    • Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system
    • C. Shu and T. B. M. J. Ouarda, "Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system," J. Hydrol., vol. 349, pp. 31-43, 2008.
    • (2008) J. Hydrol. , vol.349 , pp. 31-43
    • Shu, C.1    Ouarda, T.B.M.J.2
  • 34
    • 17644393194 scopus 로고    scopus 로고
    • Comparative study of Ångström's and artificial neural networks' methodologies in estimating global solar radiation
    • F. Tymvios, C. Jacovides, S. Michaelides, and C. Scouteli, "Comparative study of Ångström's and artificial neural networks' methodologies in estimating global solar radiation," Solar Energy, vol. 78, pp. 752-762, 2005.
    • (2005) Solar Energy , vol.78 , pp. 752-762
    • Tymvios, F.1    Jacovides, C.2    Michaelides, S.3    Scouteli, C.4
  • 35
    • 38349078125 scopus 로고    scopus 로고
    • Estimation of monthly average daily global solar irradiation using artificial neural networks
    • J. Mubiru and E. Banda, "Estimation of monthly average daily global solar irradiation using artificial neural networks," Solar Energy, vol. 82, pp. 181-187, 2008.
    • (2008) Solar Energy , vol.82 , pp. 181-187
    • Mubiru, J.1    Banda, E.2
  • 36
    • 77949876934 scopus 로고    scopus 로고
    • A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a gridconnected PV plant at Trieste, Italy
    • A. Mellit and A. M. Pavan, "A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a gridconnected PV plant at Trieste, Italy," Solar Energy, vol. 84, pp. 807-821, 2010.
    • (2010) Solar Energy , vol.84 , pp. 807-821
    • Mellit, A.1    Pavan, A.M.2
  • 37
    • 38349122433 scopus 로고    scopus 로고
    • Use of neural networks for the creation of hourly global and diffuse solar irradiance data at representative locations in Greece
    • K. Moustris et al., "Use of neural networks for the creation of hourly global and diffuse solar irradiance data at representative locations in Greece," Renew. Energy, vol. 33, pp. 928-932, 2008.
    • (2008) Renew. Energy , vol.33 , pp. 928-932
    • Moustris, K.1
  • 38
    • 78649852700 scopus 로고    scopus 로고
    • Modeling of solar radiation using remote sensing and artificial neural network in Turkey
    • O. Senkal, "Modeling of solar radiation using remote sensing and artificial neural network in Turkey," Energy, vol. 35, pp. 4795-4801, 2010.
    • (2010) Energy , vol.35 , pp. 4795-4801
    • Senkal, O.1
  • 40
    • 80051905735 scopus 로고    scopus 로고
    • Cloud detection in meteosat second generation imagery at the met office
    • J. Hocking, P. N. Francis, and R. Saunders, "Cloud detection in Meteosat second generation imagery at the Met Office," Meteorol. Appl., vol. 18, pp. 307-323, 2011.
    • (2011) Meteorol. Appl. , vol.18 , pp. 307-323
    • Hocking, J.1    Francis, P.N.2    Saunders, R.3
  • 42
    • 0000627958 scopus 로고
    • The Box-Cox transformation technique: A review
    • R. Sakia, "The Box-Cox transformation technique: A review," Statistician, vol. 41, pp. 169-178, 1992.
    • (1992) Statistician , vol.41 , pp. 169-178
    • Sakia, R.1
  • 43
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Aug. 1
    • L. Breiman, "Bagging predictors," Mach. Learn., vol. 24, pp. 123-140, Aug. 1, 1996.
    • (1996) Mach. Learn. , vol.24 , pp. 123-140
    • Breiman, L.1
  • 44
    • 84944900422 scopus 로고    scopus 로고
    • Bagging, subagging and bragging for improving some prediction algorithms
    • Zürich, Switzerland
    • P. L. Bühlmann, "Bagging, subagging and bragging for improving some prediction algorithms," in Semin. Stat. Eidgenössische Technische Hochschule (ETH), Zürich, Switzerland, 2003.
    • (2003) Semin. Stat. Eidgenössische Technische Hochschule (ETH)
    • Bühlmann, P.L.1
  • 45
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • M. F. Møller, "A scaled conjugate gradient algorithm for fast supervised learning," Neural Netw., vol. 6, pp. 525-533, 1993.
    • (1993) Neural Netw. , vol.6 , pp. 525-533
    • Møller, M.F.1
  • 49
    • 0031212022 scopus 로고    scopus 로고
    • An enhancement of generalization ability in cascade correlation algorithm by avoidance of overfitting/overtraining problem
    • I. V. Tetko and A. E. Villa, "An enhancement of generalization ability in cascade correlation algorithm by avoidance of overfitting/overtraining problem," Neural Process. Lett., vol. 6, pp. 43-50, 1997.
    • (1997) Neural Process. Lett. , vol.6 , pp. 43-50
    • Tetko, I.V.1    Villa, A.E.2
  • 50
    • 0036826115 scopus 로고    scopus 로고
    • Regularization learning, early stopping and biased estimator
    • K. Hagiwara, "Regularization learning, early stopping and biased estimator," Neurocomputing, vol. 48, pp. 937-955, 2002.
    • (2002) Neurocomputing , vol.48 , pp. 937-955
    • Hagiwara, K.1
  • 51
    • 41549141939 scopus 로고    scopus 로고
    • Boosting algorithms: Regularization, prediction and model fitting
    • P. Bühlmann and T. Hothorn, "Boosting algorithms: Regularization, prediction and model fitting," Stat. Sci., vol. 22, no. 4, pp. 477-505, 2007.
    • (2007) Stat. Sci. , vol.22 , Issue.4 , pp. 477-505
    • Bühlmann, P.1    Hothorn, T.2
  • 53
    • 84941197588 scopus 로고
    • The equivalence of generalized least squares and maximum likelihood estimates in the exponential family
    • A. Charnes, E. Frome, and P.-L. Yu, "The equivalence of generalized least squares and maximum likelihood estimates in the exponential family," J. Amer. Stat. Assoc., vol. 71, pp. 169-171, 1976.
    • (1976) J. Amer. Stat. Assoc. , vol.71 , pp. 169-171
    • Charnes, A.1    Frome, E.2    Yu, P.-L.3
  • 58
    • 0016128052 scopus 로고
    • A robust method for multiple linear regression
    • D. F. Andrews, "A robust method for multiple linear regression," Technometrics, vol. 16, pp. 523-531, 1974.
    • (1974) Technometrics , vol.16 , pp. 523-531
    • Andrews, D.F.1
  • 59
    • 0026135419 scopus 로고
    • Robust regression methods for computer vision: A review
    • Apr. 1
    • P. Meer, D. Mintz, A. Rosenfeld, and D. Kim, "Robust regression methods for computer vision: A review," Int. J. Comput. Vision, vol. 6, pp. 59-70, Apr. 1, 1991.
    • (1991) Int. J. Comput. Vision , vol.6 , pp. 59-70
    • Meer, P.1    Mintz, D.2    Rosenfeld, A.3    Kim, D.4
  • 60
    • 77954208530 scopus 로고
    • Integrating a robust option into a multiple regression computing environment
    • New York, NY, USA: Springer
    • W. Dumouchel and F. O'Brien, "Integrating a robust option into a multiple regression computing environment," in Computing and Graphics in Statistics, New York, NY, USA: Springer, 1991, pp. 41-48.
    • (1991) Computing and Graphics in Statistics , pp. 41-48
    • Dumouchel, W.1    O'Brien, F.2
  • 61
    • 84946263679 scopus 로고
    • Robust regression using iteratively reweighted least-squares
    • Jan. 1
    • P. W. Holland and R. E. Welsch, "Robust regression using iteratively reweighted least-squares," Commun. Statist. Theory Methods, vol. 6, pp. 813-827, Jan. 1, 1977.
    • (1977) Commun. Statist. Theory Methods , vol.6 , pp. 813-827
    • Holland, P.W.1    Welsch, R.E.2
  • 65
    • 84862833049 scopus 로고    scopus 로고
    • Assessment of BSRN radiation records for the computation of monthly means
    • A. Roesch et al., "Assessment of BSRN radiation records for the computation of monthly means," Atmos. Meas. Tech., vol. 4, pp. 339-354, 2011.
    • (2011) Atmos. Meas. Tech. , vol.4 , pp. 339-354
    • Roesch, A.1
  • 66
    • 0023859477 scopus 로고
    • The astronomical Almanac's algorithm for approximate solar position (1950-2050)
    • J. J. Michalsky, "The astronomical Almanac's algorithm for approximate solar position (1950-2050)," Solar Energy, vol. 40, pp. 227-235, 1988.
    • (1988) Solar Energy , vol.40 , pp. 227-235
    • Michalsky, J.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.