Prediction of power output by models based on fuzzy systems
The result's identifiers
Result code in 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>
Alternative codes found
RIV/61989100:27730/13:86088889
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Prediction of power output by models based on fuzzy systems
Original language description
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.
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
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Energy Education Science and Technology Part A: Energy Science and Research
ISSN
1308-772X
e-ISSN
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Volume of the periodical
31
Issue of the periodical within the volume
3
Country of publishing house
TR - TURKEY
Number of pages
12
Pages from-to
1757-1768
UT code for WoS article
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EID of the result in the Scopus database
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