Cluster Analysis of Smart Metering Data - An Implementation in Practice

Authors

Christoph Flath, Research Center for Information TechnologyFollow
David Nicolay, Research Center for Information TechnologyFollow
Tobias Conte, FZI Research CenterFollow
Clemens van Dinther, Research Center for Information TechnologyFollow
Lilia Filipova-Neumann, Research Center for Information TechnologyFollow

Document Type

Research Paper

Abstract

The introduction of smart meter technology is a great challenge for the German energy industry. It requires not only large investments in the communication and metering infrastructure, but also a redesign of traditional business processes. The newly incurring costs cannot be fully passed on to the end customers. One option to counterbalance these expenses is to exploit the newly generated smart metering data for the creation of new services and improved processes. For instance, performing a cluster analysis of smart metering data focused on the customers’ time-based consumption behavior allows for a detailed customer segmentation. In the article we present a cluster analysis performed on real-world consumption data from a smart meter project conducted by a German regional utilities company. We show how to integrate a cluster analysis approach into a business intelligence environment and evaluate this artifact as defined by design science. We discuss the results of the cluster analysis and highlight options to apply them to segment-specific tariff design.

Recommended Citation

Flath, Christoph; Nicolay, David; Conte, Tobias; van Dinther, Clemens; and Filipova-Neumann, Lilia (2012) "Cluster Analysis of Smart Metering Data - An Implementation in Practice," Business & Information Systems Engineering: Vol. 4: Iss. 1, 31-39.
Available at: https://aisel.aisnet.org/bise/vol4/iss1/5