메뉴 건너뛰기




Volumn 8817, Issue , 2014, Pages 38-53

Machine Learning Prediction of Large Area Photovoltaic Energy Production

Author keywords

Numerical weather prediction; Photovoltaic energy; Ridge regression; Support vector regression

Indexed keywords

ARTIFICIAL INTELLIGENCE; REGRESSION ANALYSIS; WEATHER FORECASTING;

EID: 84912574531     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13290-7_3     Document Type: Article
Times cited : (9)

References (15)
  • 1
    • 65649123894 scopus 로고    scopus 로고
    • Ann-based modelling and estimation of daily global solar radiation data: A case study
    • Benghanem, M., Mellit, A., Alamri, S.: Ann-based modelling and estimation of daily global solar radiation data: a case study. Energy Convers. Manage. 50(7), 1644-1655 (2009)
    • (2009) Energy Convers. Manage , vol.50 , Issue.7 , pp. 1644-1655
    • Benghanem, M.1    Mellit, A.2    Alamri, S.3
  • 2
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM a library for support vector machines
    • Chang, C., Lin, C.: LIBSVM a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2, 27:1-27:27 (2011). http://www.csie.ntu.edu.tw/∼cjlin/libsvm
    • (2011) ACM Trans. Intell. Syst. Technol , vol.2 , pp. 1-27
    • Chang, C.1    Lin, C.2
  • 3
    • 1242331293 scopus 로고    scopus 로고
    • Bayesian support vector regression using a unified loss function
    • Chu, W., Keerthi, S.S., Ong, C.J.: Bayesian support vector regression using a unified loss function. IEEE Trans. Neural Netw. 15(1), 29-44 (2004)
    • (2004) IEEE Trans. Neural Netw , vol.15 , Issue.1 , pp. 29-44
    • Chu, W.1    Keerthi, S.S.2    Ong, C.J.3
  • 9
    • 47149095417 scopus 로고    scopus 로고
    • Artificial intelligence techniques for photovoltaic applications: A review
    • Mellit, A., Kalogirou, S.A.: Artificial intelligence techniques for photovoltaic applications: a review. Prog. Energy Combust. Sci. 34(5), 574-632 (2008)
    • (2008) Prog. Energy Combust. Sci , vol.34 , Issue.5 , pp. 574-632
    • Mellit, A.1    Kalogirou, S.A.2
  • 10
    • 9944242271 scopus 로고    scopus 로고
    • Solar radiation modeling and measurements for renewable energy applications: Data and model quality
    • Myers, D.R.: Solar radiation modeling and measurements for renewable energy applications: data and model quality. Energy 30(9), 1517-1531 (2005)
    • (2005) Energy , vol.30 , Issue.9 , pp. 1517-1531
    • Myers, D.R.1
  • 11
    • 84861712862 scopus 로고    scopus 로고
    • Assessment of forecasting techniques for solar power output with no exogenous inputs
    • Pedro, H., Coimbra, C.: Assessment of forecasting techniques for solar power output with no exogenous inputs. Sol. Energy 86, 2017-2028 (2012)
    • (2012) Sol. Energy , vol.86 , pp. 2017-2028
    • Pedro, H.1    Coimbra, C.2
  • 12
    • 84903806790 scopus 로고    scopus 로고
    • Stochastic learning methods
    • Kleissl, J. (ed.), Academic Press, New York
    • Pedro, H., Coimbra, C.: Stochastic learning methods. In: Kleissl, J. (ed.) Solar Energy Forecasting and Resource Assessment, pp. 383-407. Academic Press, New York (2013)
    • (2013) Solar Energy Forecasting and Resource Assessment , pp. 383-407
    • Pedro, H.1    Coimbra, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.