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Master Thesis: Zeitreihen-Clustering von Industriekunden im Energiebereich

Authors: Kovarik, Bernhard;

Master Thesis: Zeitreihen-Clustering von Industriekunden im Energiebereich

Abstract

In the electricity segment of the energy industry, the consumption of industrial customers is recorded by means of load profile meters. The 15-minute time series measured are primarily used for billing the energy supplied. In addition, further information for the design of tariffs or forecasting can be taken from the measured time series. To get a deeper insight into the data, the data was clustered using the K-Means and Ward algorithm. With these algorithms, clusterings were possible that differed in terms of their consumption behavior in the observation periods of one year, month and day. The aim of the work was to group the customers according to their consumption profiles.

Keywords

K-Means, energy industry, time series, Ward, clustering

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