Visualizing Clusters in the Photovoltaic Power Station Data by Sammon’s Projection

Autor:	Martin Radvanský, Vaclav Snasel, Miloš Kudělka
Rok vydání:	2014
Předmět:	Power station business.industry Electrical engineering Photovoltaic power station computer.software_genre Visualization Power (physics) Geography Cluster (physics) Data mining Cluster analysis business Projection (set theory) computer
Zdroj:	Innovations in Bio-inspired Computing and Applications ISBN: 9783319017808 IBICA
DOI:	10.1007/978-3-319-01781-5_23
Popis:	This paper presents results of the finding and the visualization cluster in the hourly recorded data of power from the small photovoltaic power station. Our main aim was to evaluate the use of Sammon’s projection for visualizing clusters in the data of power. The photovoltaic power station is sensitive for changes according to the sun’s light power. Although one can think that sunny days are the same the power of the sun light is very volatile during a day. When we wanted to analyse the efficiency of the power station, it was necessary to use some kind of clustering method. We propose the clustering method based on social network algorithms and the result is visualized by the Sammon’s projection for explorational analysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5cc5bc6f35ec735b3774f1e39b9c5a97 https://doi.org/10.1007/978-3-319-01781-5_23 Zobrazit plný text záznamu