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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2014

ISBN

978-1-4799-3840-7

ISSN

1062-922X

e-ISSN

—

Počet stran výsledku

6

Strana od-do

3497-3502

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

San Diego

Datum konání akce

5. 10. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000370963703105