Number of the records: 1  

Statistical Modeling of Energy Production by Photovoltaic Farms

  1. 1.
    SYSNO ASEP0346898
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleStatistical Modeling of Energy Production by Photovoltaic Farms
    Author(s) Brabec, Marek (UIVT-O) RID, SAI, ORCID
    Pelikán, Emil (UIVT-O) SAI, RID
    Krč, Pavel (UIVT-O) SAI, RID, ORCID
    Eben, Kryštof (UIVT-O) SAI, RID, ORCID
    Musílek, P. (CA)
    Source TitleElectrical Power and Energy Conference "Sustainable Energy for an Intelligent Grid". - Piscataway : IEEE, 2010 - ISBN 978-1-4244-8186-6
    Pagess. 1-6
    Number of pages6 s.
    Publication formCD ROM - CD ROM
    ActionEPEC 2010. Electrical Power and Energy Conference
    Event date25.08.2010-27.08.2010
    VEvent locationHalifax
    CountryCA - Canada
    Event typeWRD
    Languageeng - English
    CountryUS - United States
    Keywordselectrical energy, solar energy ; numerical weather prediction model ; statistical model ; nonparametric regression ; inflated beta regression
    Subject RIVJE - Non-nuclear Energetics, Energy Consumption ; Use
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    EID SCOPUS79951600950
    DOI10.1109/EPEC.2010.5697249
    AnnotationThis paper introduces several alternative statistical approaches to modeling and prediction of electric energy generated by photovoltaic farms. The statistical models use outputs of a numerical weather prediction model as their inputs. Presented statistical models allow for easy-to-compute predictions, both in temporal sense and for out-of-sample individual farms. Model performance is illustrated on a sample of real photovoltaic farms located in the Czech Republic.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2012
Number of the records: 1  

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