On wind power station production prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86080891" target="_blank" >RIV/61989100:27240/10:86080891 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-14306-9_65" target="_blank" >http://dx.doi.org/10.1007/978-3-642-14306-9_65</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-14306-9_65" target="_blank" >10.1007/978-3-642-14306-9_65</a>
Alternative languages
Result language
angličtina
Original language name
On wind power station production prediction
Original language description
The paper deals with results following from the research of prediction of wind power plant production. The model was developed at VšB - Technical university of Ostrava and it is based on knowledge of weather forecast and power curve of predicted wind power plant. To improve accuracy of prediction several correction mechanisms are adopted. In conclusion, the paper describes comparison of predicted values and measured values.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Communications in Computer and Information Science
ISSN
1865-0929
e-ISSN
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Volume of the periodical
88
Issue of the periodical within the volume
2
Country of publishing house
DE - GERMANY
Number of pages
18
Pages from-to
656-668
UT code for WoS article
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EID of the result in the Scopus database
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