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Volumn 39, Issue , 2015, Pages 449-458

Probabilistic forecasting of solar power: An ensemble learning approach

Author keywords

Ensemble learning; Pinball loss function; Probabilistic forecasting; Solar power

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING; LEARNING ALGORITHMS; LEARNING SYSTEMS; NORMAL DISTRIBUTION; SOLAR ENERGY; TECHNOLOGICAL FORECASTING; WIND POWER;

EID: 84944454212     PISSN: 21903018     EISSN: 21903026     Source Type: Book Series    
DOI: 10.1007/978-3-319-19857-6_38     Document Type: Conference Paper
Times cited : (38)

References (23)
  • 1
    • 0000581356 scopus 로고
    • An introduction to kernel and nearest-neighbor nonparametric regression
    • Altman, N.S.: An introduction to kernel and nearest-neighbor nonparametric regression. Am. Stat. 46(3), 175-185 (1992)
    • (1992) Am. Stat , vol.46 , Issue.3 , pp. 175-185
    • Altman, N.S.1
  • 2
    • 70049096782 scopus 로고    scopus 로고
    • Online short-term solar power forecasting. Sol
    • Bacher, P., Madsen, H., Nielsen, H.A.: Online short-term solar power forecasting. Sol. Energy 83(10), 1772-1783 (2009)
    • (2009) Energy , vol.83 , Issue.10 , pp. 1772-1783
    • Bacher, P.1    Madsen, H.2    Nielsen, H.A.3
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L.: Random forests. Mach. Learn. 45(1), 5-32 (2001)
    • (2001) Mach. Learn , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 5
    • 84874963419 scopus 로고    scopus 로고
    • Not all about consumption
    • Davidson, D.J., Andrews, J.: Not all about consumption. Science 339(6125), 1286-1287 (2013)
    • (2013) Science , vol.339 , Issue.6125 , pp. 1286-1287
    • Davidson, D.J.1    Andrews, J.2
  • 6
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boostingmachine
    • Friedman, J.H.: Greedy function approximation: a gradient boostingmachine.Ann. Stat. 1189-1232 (2001)
    • (2001) Ann. Stat , pp. 1189-1232
    • Friedman, J.H.1
  • 10
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl, A.E., Kennard, R.W.: Ridge regression: biased estimation for nonorthogonal problems. Technometrics 12(1), 55-67 (1970)
    • (1970) Technometrics , vol.12 , Issue.1 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 11
    • 84905712105 scopus 로고    scopus 로고
    • Energy forecasting: Past, present, and future. Foresight:
    • Hong, T.: Energy forecasting: past, present, and future. Foresight: Int. J. Appl. Forecast.Winter 2014, 43-48 (2014)
    • (2014) Int. J. Appl. Forecast.Winter , vol.2014 , pp. 43-48
    • Hong, T.1
  • 12
    • 84977662886 scopus 로고    scopus 로고
    • Hybrid prediction method for solar power using different computational intelligence algorithms. Smart Grid renew
    • Hossain, M.R., Oo, A.M.T., Shawkat Ali, A.B.M.: Hybrid prediction method for solar power using different computational intelligence algorithms. Smart Grid renew. Energy 4(1), 76-87 (2013)
    • (2013) Energy , vol.4 , Issue.1 , pp. 76-87
    • Hossain, M.R.1    Oo, A.2    Shawkat Ali, A.3
  • 16
    • 84899493943 scopus 로고    scopus 로고
    • Probabilistic forecasts of solar irradiance using stochastic differential equations
    • Iversen, E.B., Morales, J.M., Møller, J.K., Madsen, H.: Probabilistic forecasts of solar irradiance using stochastic differential equations. Environmetrics 25(3), 152-164 (2014)
    • (2014) Environmetrics , vol.25 , Issue.3 , pp. 152-164
    • Iversen, E.B.1    Morales, J.M.2    Møller, J.K.3    Madsen, H.4
  • 17
    • 84925105967 scopus 로고    scopus 로고
    • Cambridge University Press, New York
    • Koenker, R.: Quantile Regression. Cambridge University Press, New York (2005)
    • (2005) Quantile Regression
    • Koenker, R.1
  • 19
    • 79954613949 scopus 로고    scopus 로고
    • Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database
    • Marquez, R., Coimbra, C.F.M.: Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database. Sol. Energy 85(5), 746-756 (2011)
    • (2011) Sol. Energy , vol.85 , Issue.5 , pp. 746-756
    • Marquez, R.1    Coimbra, C.2
  • 22
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R.: Regression shrinkage and selection via the lasso. J. Roy. Stat. Soc.: Ser. (Methodol.) 58(1), 267-288 (1996)
    • (1996) J. Roy. Stat. Soc.: Ser. (Methodol.) , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1


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