Statistical Modeling of Energy Production by Photovoltaic Farms

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00365781" target="_blank" >RIV/67985807:_____/11:00365781 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Statistical Modeling of Energy Production by Photovoltaic Farms

Original language description

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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Energy and Power Engineering

ISSN

1934-8975

e-ISSN

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Volume of the periodical

5

Issue of the periodical within the volume

9

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

785-793

UT code for WoS article

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EID of the result in the Scopus database

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