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Design, Implementation and Field Testing of a Cloud-Based Smart Meter Installation Management

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Business Information Systems Workshops (BIS 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 183))

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Abstract

The European Union’s Third Energy Package prescribes that at least 80 % of the European consumers shall be equipped with intelligent metering devices by 2020. This directive represents a vast challenge regarding the management of smart meter installation processes. In the course of a pilot roll-out in the city of Leipzig, we observed that these processes are currently not sufficiently supported by information and communication technology (ICT). This fact causes media disruptions and additional expenditure in terms of manual efforts. It is for this reason that we developed a cloud-based Smart Meter Installation Management (SMIM) that enables meter operators to capture and process business and installation data fully digital in the cloud. In this paper, we outline the functionality as well as the development process of SMIM from a practical point of view and present preliminary results and experiences.

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Notes

  1. 1.

    The obligations depend on the respective technical feasibility.

  2. 2.

    The illustration was derived from a BPMN 2.0 diagram that can be found on: https://seits.wifa.uni-leipzig.de/10ksm/pub/.

  3. 3.

    The researchers got free access to SAP Business ByDesign during an evaluation phase.

  4. 4.

    A deployment unit encompasses a wide range of business objects, which can be regarded in the same context (see also [18]).

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Acknowledgement

The research project 10.000 Smart Meters in the Model Region Leipzig is funded by the European Regional Development Fund (ERDF) and the Free State of Saxony (Sächsische Aufbaubank – SAB).

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Correspondence to Robert Wehlitz .

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Wehlitz, R., Werner, A., Franczyk, B. (2014). Design, Implementation and Field Testing of a Cloud-Based Smart Meter Installation Management. In: Abramowicz, W., Kokkinaki, A. (eds) Business Information Systems Workshops. BIS 2014. Lecture Notes in Business Information Processing, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-11460-6_25

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  • DOI: https://doi.org/10.1007/978-3-319-11460-6_25

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