Minimizing Energy Consumption in Heating Systems under Uncertainty View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008

AUTHORS

José Ramón Villar , Enrique de la Cal , Javier Sedano

ABSTRACT

Energy saving systems are needed to reduce the energy taxes, so the electric energy remains balanced. In Spain, a local company that produces electric heaters needs an energy saving device to be integrated with the heaters. The building regulations in Spain introduce five different climate zones, so such device must meet all of them. In previous works the uncertainty in the process was shown, and the different configurations that must be included to accomplish the Spanish regulations were established. It was proven that a hybrid artificial intelligent systems (HAIS) could afford the energy saving reasonably, even though some improvements must be introduced. This work proposes a modified solution to relax the hardware restrictions and to solve the lack of distribution observed. The modified energy saving HAIS is detailed and compared with that obtained in previous works. More... »

PAGES

583-590

References to SciGraph publications

  • 2007. Energy Saving by Means of Fuzzy Systems in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2007
  • Book

    TITLE

    Hybrid Artificial Intelligence Systems

    ISBN

    978-3-540-87655-7
    978-3-540-87656-4

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-540-87656-4_72

    DOI

    http://dx.doi.org/10.1007/978-3-540-87656-4_72

    DIMENSIONS

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