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Statistical Modeling of Energy Production by Photovoltaic Farms
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SYSNO ASEP 0365781 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Statistical 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 Title Journal of Energy and Power Engineering - ISSN 1934-8975
Roč. 5, č. 9 (2011), s. 785-793Number of pages 9 s. Language eng - English Country US - United States Keywords electrical energy ; solar energy ; numerical weather prediction model ; nonparametric regression ; beta regression Subject RIV BB - Applied Statistics, Operational Research CEZ AV0Z10300504 - UIVT-O (2005-2011) Annotation This 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2012
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