Artificially evolved soft computing models for photovoltaic power plant output estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86085009" target="_blank" >RIV/61989100:27240/12:86085009 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICSMC.2012.6377861" target="_blank" >http://dx.doi.org/10.1109/ICSMC.2012.6377861</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSMC.2012.6377861" target="_blank" >10.1109/ICSMC.2012.6377861</a>
Alternative languages
Result language
angličtina
Original language name
Artificially evolved soft computing models for photovoltaic power plant output estimation
Original language description
Renewable energy sources are becoming a significant part of todays energy mix. The unstable production of many renewable energy sources including photovoltaic and wind power plants puts increased demands on power transmission systems and on the power grid as a whole. Soft computing methods can contribute to the prediction of electric energy production of renewable resources and therefore to the reliability of the power transmission networks. This work compares two soft computing methods that utilize genetic programming to evolve predictors of a selected renewable energy resource that meets the real world criterion of high output variance and relatively large installed power (in context of the power distribution system of the Czech Republic). 2012 IEEE.
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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2012
ISBN
978-1-4673-1714-6
ISSN
1062-922X
e-ISSN
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Number of pages
6
Pages from-to
1011-1016
Publisher name
IEEE
Place of publication
New York
Event location
Soul
Event date
Oct 14, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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