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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4881))

Abstract

It is well known that global sustainability must begin with human actions. A reduction of the consumed energy in the heating systems is one of such possible actions. The higher the society prosperity the higher the required houses comfort, and the higher amount of energy. In Spain it is especially important as the construction rate is almost the half of that in Europe. To save energy is urgent, which means that the energy losses must be reduced.

In this paper, a multi agent system solution for the reduction of the energy consumption in heating systems of houses is presented. A control central unit (CCU) responsible of minimising the energy consumption interacts with the heaters. The CCU includes a Fuzzy Model (FM) and a Fuzzy controller (FC) and makes use of the concept of energy balance to distribute the energy between the heaters.

Results show the proposed system as a very promising solution for energy saving and comfort tracking in houses. This solution is the preliminary study to be included in a heating system product of a local company.

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Hujun Yin Peter Tino Emilio Corchado Will Byrne Xin Yao

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© 2007 Springer-Verlag Berlin Heidelberg

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Villar, J.R., de la Cal, E., Sedano, J. (2007). Energy Saving by Means of Fuzzy Systems. In: Yin, H., Tino, P., Corchado, E., Byrne, W., Yao, X. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2007. IDEAL 2007. Lecture Notes in Computer Science, vol 4881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77226-2_17

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  • DOI: https://doi.org/10.1007/978-3-540-77226-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77225-5

  • Online ISBN: 978-3-540-77226-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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