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Household Occupancy Detection Based on Electric Energy Consumption

  • Alberto L. BarriusoEmail author
  • Álvaro Lozano
  • Daniel H. de la Iglesia
  • Gabriel Villarrubia
  • Juan F. de Paz
Conference paper
  • 1k Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 887)

Abstract

It is possible to detect the presence of residents in a home by monitoring its energy consumption. Currently, the state of the art provides us with a number of approaches. Some studies leverage intrusive systems which require user interaction. Others employ sensors to detect the presence of people in a non-intrusive way. In this article, we propose the use of a sensor network for measuring electric energy consumption in a home. A multi-agent system is used to manage the data generated by the deployed sensor network in an intelligent way. A non-intrusive occupation monitoring algorithm was designed to determine when a house is occupied and when it is empty.

Keywords

Multi-agent system NIOM PANGEA 

Notes

Acknowledgements

The present work was done and funded in the scope of H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No. 641794). The research of Daniel Hernández de la Iglesia has been co-financed by the European Social Fund and Junta de Castilla y León (Operational Programme 2014–2020 for Castilla y León, EDU/529/2017 BOCYL). Álvaro Lozano is supported by the pre-doctoral fellowship from the University of Salamanca and Banco Santander. This work was supported by the Spanish Ministry, Ministerio de Economía y Competitividad and FEDER funds. The research of Alberto López Barriuso has been co-financed by the European Social Fund and Junta de Castilla y León (Operational Programme 2014–2020 for Castilla y León, EDU/128/2015 BOCYL).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Alberto L. Barriuso
    • 1
    Email author
  • Álvaro Lozano
    • 1
  • Daniel H. de la Iglesia
    • 1
  • Gabriel Villarrubia
    • 1
  • Juan F. de Paz
    • 1
  1. 1.Department of Computer Science and AutomationUniversity of SalamancaSalamancaSpain

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