메뉴 건너뛰기




Volumn 80, Issue , 2015, Pages 197-204

Short-term predictability of photovoltaic production over Italy

Author keywords

Photovoltaic system; Renewable energy modelling; Solar irradiance; Solar power forecasting

Indexed keywords

ELECTRIC POWER GENERATION; ELECTRIC POWER TRANSMISSION NETWORKS; PHOTOVOLTAIC CELLS; SOLAR ENERGY; SOLAR POWER GENERATION; SUPPORT VECTOR MACHINES;

EID: 84923271003     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2015.02.010     Document Type: Article
Times cited : (54)

References (22)
  • 1
    • 0002006114 scopus 로고
    • Error measures for generalizing about forecasting methods: empirical comparisons
    • Armstrong J.S., Collopy F. Error measures for generalizing about forecasting methods: empirical comparisons. Int J Forecast 1992, 8(1):69-80.
    • (1992) Int J Forecast , vol.8 , Issue.1 , pp. 69-80
    • Armstrong, J.S.1    Collopy, F.2
  • 3
    • 84887367105 scopus 로고    scopus 로고
    • Ahybrid model (SARIMA-SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant
    • Bouzerdoum M., Mellit A., Massi Pavan A. Ahybrid model (SARIMA-SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant. Sol Energy 2013, 98:226-235.
    • (2013) Sol Energy , vol.98 , pp. 226-235
    • Bouzerdoum, M.1    Mellit, A.2    Massi Pavan, A.3
  • 4
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C., Vapnik V. Support-vector networks. Mach Learn 1995, 20(3):273-297.
    • (1995) Mach Learn , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
    • 58149250231 scopus 로고    scopus 로고
    • Aeuropean daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006
    • Haylock M.R., Hofstra N., Klein Tank A.M.G., Klok E.J., Jones P.D., New M. Aeuropean daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006. JGeophys Res Atmos 2008, 113(D20).
    • (2008) JGeophys Res Atmos , vol.113 , Issue.D20
    • Haylock, M.R.1    Hofstra, N.2    Klein Tank, A.M.G.3    Klok, E.J.4    Jones, P.D.5    New, M.6
  • 9
    • 78649959469 scopus 로고    scopus 로고
    • Perspectives on system identification
    • Ljung Lennart Perspectives on system identification. Annu Rev Control 2010, 34(1):1-12.
    • (2010) Annu Rev Control , vol.34 , Issue.1 , pp. 1-12
    • Ljung, L.1
  • 11
    • 84897897319 scopus 로고    scopus 로고
    • Astudy on the mismatch effect due to the use of different photovoltaic modules classes in large-scale solar parks
    • Massi Pavan A., Mellit A., De Pieri D., Lughi V. Astudy on the mismatch effect due to the use of different photovoltaic modules classes in large-scale solar parks. Prog Photovolt Res Appl 2014, 22(3):332-345.
    • (2014) Prog Photovolt Res Appl , vol.22 , Issue.3 , pp. 332-345
    • Massi Pavan, A.1    Mellit, A.2    De Pieri, D.3    Lughi, V.4
  • 12
    • 79954582115 scopus 로고    scopus 로고
    • Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States
    • Mathiesen P., Kleissl J. Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States. Sol Energy 2011, 85(5):967-977.
    • (2011) Sol Energy , vol.85 , Issue.5 , pp. 967-977
    • Mathiesen, P.1    Kleissl, J.2
  • 13
    • 63649110320 scopus 로고    scopus 로고
    • The CM-SAF operational scheme for the satellite based retrieval of solar surface irradianceA LUT based eigenvector hybrid approach
    • Mueller R.W., Matsoukas C., Gratzki A., Behr H.D., Hollmann R. The CM-SAF operational scheme for the satellite based retrieval of solar surface irradianceA LUT based eigenvector hybrid approach. Remote Sens Environ 2009, 113(5):1012-1024.
    • (2009) Remote Sens Environ , vol.113 , Issue.5 , pp. 1012-1024
    • Mueller, R.W.1    Matsoukas, C.2    Gratzki, A.3    Behr, H.D.4    Hollmann, R.5
  • 14
    • 84861712862 scopus 로고    scopus 로고
    • Assessment of forecasting techniques for solar power production with no exogenous inputs
    • Pedro H.T.C., Coimbra C.F.M. Assessment of forecasting techniques for solar power production with no exogenous inputs. Sol Energy 2012, 86(7):2017-2028.
    • (2012) Sol Energy , vol.86 , Issue.7 , pp. 2017-2028
    • Pedro, H.T.C.1    Coimbra, C.F.M.2
  • 16
    • 75449092714 scopus 로고    scopus 로고
    • Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis
    • Sandrolini L., Artioli M., Reggiani U. Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis. Appl Energy 2010, 87(2):442-451.
    • (2010) Appl Energy , vol.87 , Issue.2 , pp. 442-451
    • Sandrolini, L.1    Artioli, M.2    Reggiani, U.3
  • 17
    • 76149086202 scopus 로고    scopus 로고
    • Operational climate monitoring from space: the EUMETSAT satellite application facility on climate monitoring (CM-SAF)
    • Schulz J., Albert P., Behr H.-D., Caprion D., Deneke H., Dewitte S., et al. Operational climate monitoring from space: the EUMETSAT satellite application facility on climate monitoring (CM-SAF). Atmos Chem Phys 2009, 9(5):1687-1709.
    • (2009) Atmos Chem Phys , vol.9 , Issue.5 , pp. 1687-1709
    • Schulz, J.1    Albert, P.2    Behr, H.-D.3    Caprion, D.4    Deneke, H.5    Dewitte, S.6
  • 18
    • 84892582997 scopus 로고    scopus 로고
    • Wind effect on PV module temperature: analysis of different techniques for an accurate estimation
    • Schwingshackl C., Petitta M., Wagner J.E., Belluardo G., Moser D., Castelli M., et al. Wind effect on PV module temperature: analysis of different techniques for an accurate estimation. Energy Procedia 2013, 40:77-86.
    • (2013) Energy Procedia , vol.40 , pp. 77-86
    • Schwingshackl, C.1    Petitta, M.2    Wagner, J.E.3    Belluardo, G.4    Moser, D.5    Castelli, M.6
  • 19
    • 84861374533 scopus 로고    scopus 로고
    • Forecasting power output of photovoltaic systems based on weather classification and support vector machines
    • Shi J., Lee W.-J., Liu Y., Yang Y., Wang P. Forecasting power output of photovoltaic systems based on weather classification and support vector machines. Indus Appl IEEE Trans 2012, 48(3):1064-1069.
    • (2012) Indus Appl IEEE Trans , vol.48 , Issue.3 , pp. 1064-1069
    • Shi, J.1    Lee, W.-J.2    Liu, Y.3    Yang, Y.4    Wang, P.5
  • 22
    • 84869888400 scopus 로고    scopus 로고
    • Short-term solar power prediction using a support vector machine
    • Zeng J., Qiao W. Short-term solar power prediction using a support vector machine. Renew Energy 2013, 52:118-127.
    • (2013) Renew Energy , vol.52 , pp. 118-127
    • Zeng, J.1    Qiao, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.