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.
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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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Barriuso, A.L., Lozano, Á., de la Iglesia, D.H., Villarrubia, G., de Paz, J.F. (2018). Household Occupancy Detection Based on Electric Energy Consumption. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_20
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