Jensen-Shannon divergence based algorithm for adaptive segmentation and labelling of household's electricity power consumption data series (original) (raw)

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016

Abstract

The increasing presence of renewable energy sources and the novel consumption types will obviously cause the increase of the fluctuation of electrical power in households. In order to better manage the electrical power consumption and production the integration of information and communication technologies and power grid is necessary, which is obviously a recent research topic. The availability of large amount of measurement data provided by household's smart meter(s) offers new possibilities in analyzing the internal structure of power consumption data series. One of them is discovering typical power consumption patterns with their duration-distributions. Our recent achievements in this direction are presented in the paper, namely a novel on-line, Jensen-Shannon divergence-based adaptive and automatic segmentation algorithm, the segment descriptors and the results of clustering using Kohonen's self-organizing map.

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