Prediction Possibilities of Electricity Production from Photovoltaic Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F12%3A43915735" target="_blank" >RIV/49777513:23220/12:43915735 - 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
Prediction Possibilities of Electricity Production from Photovoltaic Systems
Original language description
The aim of this article is to show and compare two methods of prediction of generated electricity from photo-voltaic power plants considering to temperature of cells. The first method is based on mathematical model of photo-voltaic cells. This model is suitable only for specific power plants, because we have to know all parameters of the plants. The accuracy of this model depends on correct parameters of plants and accurate solar radiation and temperature of cells. The second possibility how to predictgenerated electric-ity from photovoltaic power plants is to use neural network. This method is most widely used.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 13th International Scientific Conference - Electric Power Engineering 2012
ISBN
978-80-214-4514-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
481-484
Publisher name
Vysoké učení technické v Brně
Place of publication
Brno
Event location
Hotel Santon, Brno
Event date
May 22, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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