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Big data: the key to energy efficiency in smart buildings

Soft Computing volume 20, pages 1749–1762 (2016)Cite this article

Abstract

Due to the high impact that energy consumption by buildings has at global scale, energy-efficient buildings to reduce \(\mathrm{CO}_2\) emissions and energy consumption are needed. In this work we present a novel approach to energy saving in buildings through the identification of the relevant parameters and the application of Soft Computing techniques to generate predictive models of energy consumption in buildings. Using such models it is possible to define strategies for optimizing the day-to-day energy consumption of buildings. To verify the feasibility of this proposal, we apply our approach to a reference building for which we have contextual data from a complete year of monitoring. First, we characterize the building in terms of its contextual features and energy consumption, and then select the most appropriate techniques to generate the most accurate model of our reference building charged with estimating the energy consumption, given a concrete set of inputs. Finally, considering the energy usage profile of the building, we propose specific control actions and strategies to save energy.

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Notes

  1. http://ec.europa.eu/clima/policies/package/index_en.htm.

  2. http://www.ectp.org/.

  3. http://www.cs.waikato.ac.nz/ml/weka/.

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Acknowledgments

This work has been sponsored by European Commission through the FP7-SMARTIE-609062 project.

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Authors and Affiliations

  1. Department of Information and Communications Engineering, University of Murcia, Murcia, Spain

    M. Victoria Moreno & Antonio F. Skarmeta

  2. Institute of Information Systems, University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland

    Luc Dufour, Antonio J. Jara & Dominique Genoud

  3. Mines Telecom, Albi, France

    Bruno Ladevie & Jean-Jacques Bezian

Authors
  1. M. Victoria Moreno
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  2. Luc Dufour
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  3. Antonio F. Skarmeta
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  4. Antonio J. Jara
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  5. Dominique Genoud
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  6. Bruno Ladevie
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  7. Jean-Jacques Bezian
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Corresponding author

Correspondence to M. Victoria Moreno.

Additional information

Communicated by A. Jara, M. R. Ogiela, I. You and F.-Y. Leu.

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Moreno, M.V., Dufour, L., Skarmeta, A.F. et al. Big data: the key to energy efficiency in smart buildings. Soft Comput 20, 1749–1762 (2016). https://doi.org/10.1007/s00500-015-1679-4

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  • DOI: https://doi.org/10.1007/s00500-015-1679-4

Keywords

  • Internet of things
  • Big data
  • Smart buildings
  • Energy efficiency