Visualizing Clusters in the Photovoltaic Power Station Data by Sammon’s Projection
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.
Keywordsclustering Photovoltaic power station Sammon’s projection
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