On the Tradeoff between Energy Data Aggregation and Clustering Quality
Holger Trittenbach, Jakob Bach, Klemens Böhm · 2018
Energy data from industrial facilities is collected with high frequency. The resulting data volumes pose a scalability challenge for subsequent analyses. While data aggregation can be used to address it, the quality of analyses on aggregated data often is unknown. In our work, we propose an experimental design to evaluate the effects of aggregation on clustering energy data.