Prediction of power output by models based on fuzzy systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088889" target="_blank" >RIV/61989100:27240/13:86088889 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27730/13:86088889

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of power output by models based on fuzzy systems

Popis výsledku v původním jazyce

The installed power of the renewable energy sources (mostly wind and solar power plants) has in the recent few years increased all over the world. In connection with the amount of installed power of instable power sources all round the world, it becomesnecessary to forecast the availability of active power to be supplied by the solar and wind power plants within a given time period because the active power availability is one of the necessary inputs for the preparation of the operation of power networks. Various tasks in this area are hard optimization problems. As such, they can be effectively addressed using soft computing methods. In this paper we present results obtained by artificial intelligence methods applied to short time solar and wind powerprediction. The methods based on bio-inspired computation and fuzzy systems were applied in this study.

Název v anglickém jazyce

Prediction of power output by models based on fuzzy systems

Popis výsledku anglicky

The installed power of the renewable energy sources (mostly wind and solar power plants) has in the recent few years increased all over the world. In connection with the amount of installed power of instable power sources all round the world, it becomesnecessary to forecast the availability of active power to be supplied by the solar and wind power plants within a given time period because the active power availability is one of the necessary inputs for the preparation of the operation of power networks. Various tasks in this area are hard optimization problems. As such, they can be effectively addressed using soft computing methods. In this paper we present results obtained by artificial intelligence methods applied to short time solar and wind powerprediction. The methods based on bio-inspired computation and fuzzy systems were applied in this study.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JE - Nejaderná energetika, spotřeba a užití energie

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Energy Education Science and Technology Part A: Energy Science and Research

ISSN

1308-772X

e-ISSN

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Svazek periodika

31

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

TR - Turecká republika

Počet stran výsledku

12

Strana od-do

1757-1768

Kód UT WoS článku

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EID výsledku v databázi Scopus

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