Optimal design of neural tree for solar power prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092533" target="_blank" >RIV/61989100:27240/14:86092533 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092533
Result on the web
<a href="http://dx.doi.org/10.1109/EPE.2014.6839522" target="_blank" >http://dx.doi.org/10.1109/EPE.2014.6839522</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE.2014.6839522" target="_blank" >10.1109/EPE.2014.6839522</a>
Alternative languages
Result language
angličtina
Original language name
Optimal design of neural tree for solar power prediction
Original language description
Today renewable energy sources are integral part of energy mix in most of countries in the world. Carbon reduction issues and other ecological activity provide a wide possibility to progressive increase of installed capacity of renewable energy sources. Huge distribution of instable renewable energy sources like wind and photovoltaic plants brings new tasks in power system control and power system reliability. Prediction of power production is one of the ways to mitigate negative impact of operation of instable energy sources. This work presents application of a neural tree method from the group of soft computing method for renewable energy prediction. In this work we focus on photovoltaic power plant production prediction.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
EPE 2014 : Electric Power Engineering 2014 : 15th International Scientific Conference : Brno, May 12th to May 14th, 2014
ISBN
978-1-4799-3806-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
273-278
Publisher name
IEEE
Place of publication
New York
Event location
Brno
Event date
May 12, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000358740100051