Identifying Power Profiles in the Photovoltaic Power Station Data by Self-organizing Maps and Dimension Reduction by Sammon's Projection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86099419" target="_blank" >RIV/61989100:27240/13:86099419 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86099419
Result on the web
<a href="http://ieeexplore.ieee.org/document/7054150/?reload=true" target="_blank" >http://ieeexplore.ieee.org/document/7054150/?reload=true</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SOCPAR.2013.7054150" target="_blank" >10.1109/SOCPAR.2013.7054150</a>
Alternative languages
Result language
angličtina
Original language name
Identifying Power Profiles in the Photovoltaic Power Station Data by Self-organizing Maps and Dimension Reduction by Sammon's Projection
Original language description
This paper presents results of the identification of clusters in the hourly recorded data of power from a small photovoltaic power station. Our main aim was to find a method of how to identify typical patterns of generated power. Although one can think that sunny days are the same, the power of the sun light is very volatile during a day. We were not interested in finding the absolute values of this power but just its patterns according to the day's maximal power. Our proposed method is based on several techniques. We used network algorithm as a method for removing noise from the data, Sammon's projection for visualization and dimensionality reduction and final clustering by the self-organizing maps. (C) 2013 IEEE.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
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
Article name in the collection
2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013
ISBN
978-1-4799-3400-3
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
315-320
Publisher name
IEEE
Place of publication
New York
Event location
Hanoj
Event date
Dec 15, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380467000053