Genetically evolved fuzzy predictor for photovoltaic power output estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86084960" target="_blank" >RIV/61989100:27240/11:86084960 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27730/11:86084960
Result on the web
<a href="http://dx.doi.org/10.1109/INCoS.2011.97" target="_blank" >http://dx.doi.org/10.1109/INCoS.2011.97</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INCoS.2011.97" target="_blank" >10.1109/INCoS.2011.97</a>
Alternative languages
Result language
angličtina
Original language name
Genetically evolved fuzzy predictor for photovoltaic power output estimation
Original language description
Fuzzy sets and fuzzy logic can be used for efficient data mining, classification, and value prediction. We propose a genetically evolved fuzzy predictor to estimate the output of a Photovoltaic Power Plant. Photovoltaic Power Plants (PVPPs) are classified as power energy sources with unstable supply of electrical energy. It is necessary to back up power energy from PVPPs for stable electric network operation. An optimal value of back up power can be set with reliable prediction models and significantlycontribute to the robustness of the electric network and therefore help in the building of intelligent power grids.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011
ISBN
978-0-7695-4579-0
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
41-46
Publisher name
IEEE
Place of publication
Piscataway
Event location
Fukuoka
Event date
Nov 30, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—