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Linguistic Summaries for Dwellings Energy Poverty Monitoring

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Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) (UCAmI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 594))

Abstract

Energy poverty is a growing problem. It affects between 50 and 125 million people only in the European Union, requiring solutions to this problem to be addressed. The Internet of Things paradigm has become an effective monitoring solution. In this sense, the use of this paradigm enables the monitoring of energy poverty indicators in dwellings, in particular temperature and humidity. Current solutions are based on the use of quantitative data and graphs, which requires more effort and dedication on the part of the people in charge of such work. In this contribution we have presented an IoT architecture composed of edge-fog-cloud layers, the design of edge nodes and the use of fuzzy logic, which allows experts to make decisions in an intuitive way, by generating linguistic summaries.

This work has been partially supported by the Government of Spain through the project RTI2018-098979-A-I00 MCIN/ AEI/10.13039/501100011033/, ERDF “A way to make Europe” and the University of Jaén under Action 1 with reference EI_TIC1_2021.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Jaén, Jaén, Spain

    D. Díaz, J. Medina, A. Montoro, José L. López & M. Espinilla

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  1. D. Díaz
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  2. J. Medina
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  3. A. Montoro
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  4. José L. López
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  5. M. Espinilla
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Editor information

Editors and Affiliations

  1. Castilla-La Mancha University, Ciudad Real, Spain

    José Bravo

  2. Computer Science Department, University of Chile, Santiago, Chile

    Sergio Ochoa

  3. CICESE, Ensenada, Mexico

    Jesús Favela

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Díaz, D., Medina, J., Montoro, A., López, J.L., Espinilla, M. (2023). Linguistic Summaries for Dwellings Energy Poverty Monitoring. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_69

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