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Ensuring the Practical Applicability of Algorithms for User Behavior Modeling Through Integration into Building Automation Systems

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Advanced Information Networking and Applications (AINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1151))

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Abstract

Significant deviation of predicted from real energy demand between planning and operation phase of buildings is amongst others caused by insufficient user behavior modeling capabilities. Technological progress, especially in the context of Internet of Things as well as Digitization, increases implementation possibilities in building automation systems, from embedded platform-based building sensors and actuators, up to edge or cloud-based applications. Thus, in joint research projects, advanced methods to enhance user behavior modeling capabilities for building automation systems have been developed.

In this paper we present how practical applicability of such algorithms is ensured, and which measures can build the foundation to assess the transferability to modern, distributed building automation systems.

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Acknowledgments

This research is supported by the German Federal Ministry for Economic Affairs and Energy (BMWi) under grant number 03EN1002D. The responsibility for this publication lies with the authors.

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Authors and Affiliations

  1. ABB Corporate Research Center Ladenburg, Ladenburg, Germany

    Markus Aleksy & Philipp Bauer

Authors
  1. Markus Aleksy
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  2. Philipp Bauer
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Corresponding author

Correspondence to Markus Aleksy .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania “Luigi Vanvitelli”, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Aleksy, M., Bauer, P. (2020). Ensuring the Practical Applicability of Algorithms for User Behavior Modeling Through Integration into Building Automation Systems. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_63

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