Short term power prediction of the photovoltaic power station based on comparison of power profile sequences using f-score computation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86099409" target="_blank" >RIV/61989100:27240/14:86099409 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/smc.2014.6974471" target="_blank" >http://dx.doi.org/10.1109/smc.2014.6974471</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/smc.2014.6974471" target="_blank" >10.1109/smc.2014.6974471</a>

Result language
angličtina
Original language name
Short term power prediction of the photovoltaic power station based on comparison of power profile sequences using f-score computation
Original language description
Due to the annual increase in energy prices, photovoltaic power stations (PVPS) are often used as a primary source of power for smart off-grid houses. Integration of this kind of energy source is challenging because it is a source of variably generated power due to meteorological uncertainty, but the cost of this energy source rapidly decreases. In this paper, we present results of the short term prediction method of generated power for small PVPS based on self-organizing maps, previously introduced power profiles, their sequences and computing F-Score as an alternative to commonly used algorithms. (C) 2014 IEEE.
Czech name
—
Czech description
—

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2014
ISBN
978-1-4799-3840-7
ISSN
1062-922X
e-ISSN
—
Number of pages
6
Pages from-to
3497-3502
Publisher name
IEEE
Place of publication
New York
Event location
San Diego
Event date
Oct 5, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000370963703105

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