메뉴 건너뛰기




Volumn 26, Issue 3, 2013, Pages 1008-1015

Ordinal and nominal classification of wind speed from synoptic pressurepatterns

Author keywords

Long term wind speed prediction; Ordinal classification; Ordinal regression; Pressure patterns; Wind farms; Wind speed

Indexed keywords

ORDINAL CLASSIFICATION; ORDINAL REGRESSION; PRESSURE PATTERNS; WIND FARM; WIND SPEED; WIND SPEED PREDICTION;

EID: 84873987310     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2012.10.018     Document Type: Article
Times cited : (22)

References (47)
  • 1
    • 29444457388 scopus 로고    scopus 로고
    • Locally recurrent neural networks for long-term wind speed and power prediction
    • T.G. Barbounis, and J.B. Theocharis Locally recurrent neural networks for long-term wind speed and power prediction Neurocomputing 69 4-6 2006 466 496
    • (2006) Neurocomputing , vol.69 , Issue.46 , pp. 466-496
    • Barbounis, T.G.1    Theocharis, J.B.2
  • 2
    • 0031217273 scopus 로고    scopus 로고
    • Ordinal logistic regression in medical research
    • R. Bender, and U. Grouven Ordinal logistic regression in medical research J. R. Coll. Physicians London 31 5 2006 546 551
    • (2006) J. R. Coll. Physicians London , vol.31 , Issue.5 , pp. 546-551
    • Bender, R.1    Grouven, U.2
  • 4
    • 42949145979 scopus 로고    scopus 로고
    • Mesoscale wind climate analysis: Identification of anemological regions and wind regimes
    • M. Burlando, M. Antonelli, and C.F. Ratto Mesoscale wind climate analysis: identification of anemological regions and wind regimes Int. J. Climatol. 28 2008 629 641
    • (2008) Int. J. Climatol. , vol.28 , pp. 629-641
    • Burlando, M.1    Antonelli, M.2    Ratto, C.F.3
  • 5
    • 34547698831 scopus 로고    scopus 로고
    • Learning to classify ordinal data the data replication method
    • J.S. Cardoso, and J.F.P. da Costa Learning to classify ordinal data the data replication method J. Mach. Learn. Res. 8 2007 1393 1429
    • (2007) J. Mach. Learn. Res. , vol.8 , pp. 1393-1429
    • Cardoso, J.S.1    Da Costa, J.F.P.2
  • 8
    • 0000521473 scopus 로고
    • Ridge estimators in logistic regression
    • S. le Cessie, and J. van Houwelingen Ridge estimators in logistic regression Appl. Stat. 41 1 1992 191 201
    • (1992) Appl. Stat. , vol.41 , Issue.1 , pp. 191-201
    • Le Cessie, S.1    Van Houwelingen, J.2
  • 9
    • 47549107415 scopus 로고    scopus 로고
    • Relationship between atmospheric pollution processes and synoptic pressure patterns in Northern China
    • Z.H. Chen, S.Y. Cheng, J.B. Li, X.R. Guo, W.H. Wang, and D.S. Chen Relationship between atmospheric pollution processes and synoptic pressure patterns in Northern China Atmos. Environ. 42 24 2008 6078 6087
    • (2008) Atmos. Environ. , vol.42 , Issue.24 , pp. 6078-6087
    • Chen, Z.H.1    Cheng, S.Y.2    Li, J.B.3    Guo, X.R.4    Wang, W.H.5    Chen, D.S.6
  • 10
    • 0034740219 scopus 로고    scopus 로고
    • Synoptic weather patterns and their relationship to high ozone concentrations in the Taichung Basin
    • W.L. Cheng Synoptic weather patterns and their relationship to high ozone concentrations in the Taichung Basin Atmos. Environ. 35 29 2001 4971 4994
    • (2001) Atmos. Environ. , vol.35 , Issue.29 , pp. 4971-4994
    • Cheng, W.L.1
  • 11
    • 21844453228 scopus 로고    scopus 로고
    • Gaussian processes for ordinal regression
    • W. Chu, and Z. Ghahramani Gaussian processes for ordinal regression J. Mach. Learn. Res. 6 2005 1019 1041
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 1019-1041
    • Chu, W.1    Ghahramani, Z.2
  • 12
    • 33847626350 scopus 로고    scopus 로고
    • Support vector ordinal regression
    • W. Chu, and S.S. Keerthi Support vector ordinal regression Neural Comput. 19 3 2007 792 815
    • (2007) Neural Comput. , vol.19 , Issue.3 , pp. 792-815
    • Chu, W.1    Keerthi, S.S.2
  • 13
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes, and V. Vapnik Support-vector networks Mach. Learn. 20 3 1995 273 297
    • (1995) Mach. Learn. , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 15
    • 14544278410 scopus 로고    scopus 로고
    • Online ranking by projecting
    • K. Crammer, and Y. Singer Online ranking by projecting Neural Comput. 17 1 2005 145 175
    • (2005) Neural Comput. , vol.17 , Issue.1 , pp. 145-175
    • Crammer, K.1    Singer, Y.2
  • 16
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demsar Statistical comparisons of classifiers over multiple data sets J. Mach. Learn. Res. 7 2006 1 30
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1-30
    • Demsar, J.1
  • 19
    • 0001837148 scopus 로고
    • A comparison of alternative tests of significance for the problem of m rankings
    • M. Friedman A comparison of alternative tests of significance for the problem of m rankings Ann. Math. Stat. 11 1 1940 86 92
    • (1940) Ann. Math. Stat. , vol.11 , Issue.1 , pp. 86-92
    • Friedman, M.1
  • 20
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression a statistical view of boosting
    • J. Friedman, T. Hastie, and R. Tibshirani Additive logistic regression a statistical view of boosting Ann. Stat. 38 2 2000 337 374
    • (2000) Ann. Stat. , vol.38 , Issue.2 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 22
    • 77953358593 scopus 로고    scopus 로고
    • A novel wind speed modeling approach using atmospheric pressure observations and hidden Markov models
    • F.O. Hocaoglu, Ö.N. Gerek, and M. Kurban A novel wind speed modeling approach using atmospheric pressure observations and hidden Markov models J. Wind Eng. Ind. Aerodyn. 98 8-9 2010 472 481
    • (2010) J. Wind Eng. Ind. Aerodyn. , vol.98 , Issue.89 , pp. 472-481
    • Hocaoglu, F.O.1    Gerek, O.N.2    Kurban, M.3
  • 23
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • C.-W. Hsu, and C.-J. Lin A comparison of methods for multi-class support vector machines IEEE Trans. Neural Networks 13 2 2002 415 425
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 25
    • 79951512139 scopus 로고    scopus 로고
    • The wind energy (r)evolution a short review of a long history
    • J.K. Kaldellis, and D. Zafirakis The wind energy (r)evolution a short review of a long history Renewable Energy 36 7 2011 1887 1901
    • (2011) Renewable Energy , vol.36 , Issue.7 , pp. 1887-1901
    • Kaldellis, J.K.1    Zafirakis, D.2
  • 26
    • 0029768948 scopus 로고    scopus 로고
    • The NCEP/NCAR reanalysis project
    • E. Kalnay The NCEP/NCAR reanalysis project Bull. Am. Meteorol. Soc. 77 1996 437 471
    • (1996) Bull. Am. Meteorol. Soc. , vol.77 , pp. 437-471
    • Kalnay, E.1
  • 27
    • 58149468814 scopus 로고    scopus 로고
    • Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs)
    • M. Khashei, M. Bijari, and G. Raissi-Ardali Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs) Neurocomputing 72 4-6 2009 956 967
    • (2009) Neurocomputing , vol.72 , Issue.46 , pp. 956-967
    • Khashei, M.1    Bijari, M.2    Raissi-Ardali, G.3
  • 28
    • 84859425235 scopus 로고    scopus 로고
    • Precipitation forecasting by using wavelet-support vector machine conjunction model
    • O. Kisi, and M. Cimen Precipitation forecasting by using wavelet-support vector machine conjunction model Eng. Appl. Artif. Intell. 25 4 2012 783 792
    • (2012) Eng. Appl. Artif. Intell. , vol.25 , Issue.4 , pp. 783-792
    • Kisi, O.1    Cimen, M.2
  • 31
    • 79751505649 scopus 로고    scopus 로고
    • Bayesian adaptive combination of short-term wind speed forecasts from neural network models
    • G. Li, J. Shi, and J. Zhou Bayesian adaptive combination of short-term wind speed forecasts from neural network models Renewable Energy 36 1 2011 352 359
    • (2011) Renewable Energy , vol.36 , Issue.1 , pp. 352-359
    • Li, G.1    Shi, J.2    Zhou, J.3
  • 34
    • 84873985778 scopus 로고    scopus 로고
    • 〈 http://www.esrl.noaa.gov/psd/data/reanalysis/reanalysis.shtml 〉.
  • 35
    • 34250715899 scopus 로고    scopus 로고
    • Forecasting of the daily meteorological pollution using wavelets and support vector machine
    • S. Osowski, and K. Garanty Forecasting of the daily meteorological pollution using wavelets and support vector machine Eng. Appl. Artif. Intell. 20 6 2006 745 755
    • (2006) Eng. Appl. Artif. Intell. , vol.20 , Issue.6 , pp. 745-755
    • Osowski, S.1    Garanty, K.2
  • 37
    • 33645550641 scopus 로고    scopus 로고
    • Understanding precipitation changes in Iberia in early spring weather typing and storm tracking approaches
    • D. Paredes, R.M. Trigo, R. García-Herrera, and I.F. Trigo Understanding precipitation changes in Iberia in early spring weather typing and storm tracking approaches J. Hydrometeorology 7 2006 101 113
    • (2006) J. Hydrometeorology , vol.7 , pp. 101-113
    • Paredes, D.1    Trigo, R.M.2    García-Herrera, R.3    Trigo, I.F.4
  • 38
    • 67349092996 scopus 로고    scopus 로고
    • Two algorithms for generating structured and unstructured monotone ordinal data sets
    • R. Potharst, A. Ben-David, and M. van Wezel Two algorithms for generating structured and unstructured monotone ordinal data sets Eng. Appl. Artif. Intell. 22 4-5 2009 491 496
    • (2009) Eng. Appl. Artif. Intell. , vol.22 , Issue.45 , pp. 491-496
    • Potharst, R.1    Ben-David, A.2    Van Wezel, M.3
  • 39
    • 34548731194 scopus 로고
    • C4.5: Programs for Machine Learning
    • San Francisco, CA, USA
    • Quinlan, J.R.; 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers Inc.; San Francisco, CA, USA.
    • (1993) Morgan Kaufmann Publishers Inc.
    • Quinlan, J.R.1
  • 40
    • 0033563970 scopus 로고    scopus 로고
    • A classification of the atmospheric circulation patterns producing significant daily rainfall in the Spanish Mediterranean area
    • R. Romero, G. Summer, C. Ramis, and A. Genoves A classification of the atmospheric circulation patterns producing significant daily rainfall in the Spanish Mediterranean area Int. J. Climatol. 19 1999 765 785
    • (1999) Int. J. Climatol. , vol.19 , pp. 765-785
    • Romero, R.1    Summer, G.2    Ramis, C.3    Genoves, A.4
  • 42
    • 84899011021 scopus 로고    scopus 로고
    • Ranking with large margin principle: Two approaches
    • MIT Press, Cambridge
    • Shashua, A.; Levin, A.; 2003. Ranking with large margin principle: two approaches. In: Advances in Neural Information Processing Systems, vol. 15. MIT Press, Cambridge, pp.937-944.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 937-944
    • Shashua, A.1    Levin, A.2
  • 43
    • 31044453710 scopus 로고    scopus 로고
    • Objective Synoptic classification combined with high resolution meteorological models for wind mesoscale studies
    • C. Soriano, A. Fernández, and J. Martin-Vide Objective Synoptic classification combined with high resolution meteorological models for wind mesoscale studies Meteorol. Atmos. Phys. 91 2006 165 181
    • (2006) Meteorol. Atmos. Phys. , vol.91 , pp. 165-181
    • Soriano, C.1    Fernández, A.2    Martin-Vide, J.3
  • 44
    • 20444437286 scopus 로고    scopus 로고
    • Forecast of hourly average wind speed with ARMA models in Navarre (Spain)
    • J.L. Torres, A. García, M. De Blas, and A. De Francisco Forecast of hourly average wind speed with ARMA models in Navarre (Spain) Solar Energy 79 2005 65 77
    • (2005) Solar Energy , vol.79 , pp. 65-77
    • Torres, J.L.1    García, A.2    De Blas, M.3    De Francisco, A.4
  • 45
    • 0033668633 scopus 로고    scopus 로고
    • Circulation weather types and their influence on the precipitation regime in Portugal
    • R.M. Trigo, and C.C. DaCamara Circulation weather types and their influence on the precipitation regime in Portugal Int. J. Climatol. 20 2000 1559 1581
    • (2000) Int. J. Climatol. , vol.20 , pp. 1559-1581
    • Trigo, R.M.1    Dacamara, C.C.2
  • 46
    • 84856733680 scopus 로고    scopus 로고
    • Learning partial ordinal class memberships with kernel-based proportional odds models
    • J. Verwaeren, W. Waegeman, and B.D. Baets Learning partial ordinal class memberships with kernel-based proportional odds models Comput. Stat. Data Anal. 56 4 2012 928 942
    • (2012) Comput. Stat. Data Anal. , vol.56 , Issue.4 , pp. 928-942
    • Verwaeren, J.1    Waegeman, W.2    Baets, B.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.