Analysing the Low Quality of the Data in Lighting Control Systems View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2010

AUTHORS

Jose R. Villar , Enrique de la Cal , Javier Sedano , Marco García-Tamargo

ABSTRACT

Energy efficiency represents one of the main challenges in the engineering field, i.e., by means of decreasing the energy consumption due to a better design minimising the energy losses. This is particularly true in real world processes in the industry or in business, where the elements involved generate data full of noise and biases. In other fields as lighting control systems, the emergence of new technologies, as the Ambient Intelligence can be, degrades the quality data introducing linguistic values. The presence of low quality data in Lighting Control Systems is introduced through an experimentation step, in order to realise the improvement in energy efficiency that its of managing could afford. In this contribution we propose, as a future work, the use of the novel genetic fuzzy system approach to obtain classifiers and models able to deal with the above mentioned problems. More... »

PAGES

421-428

References to SciGraph publications

  • 2010-02. Taximeter verification with GPS and soft computing techniques in SOFT COMPUTING
  • 2009. Efficiency in Electrical Heating Systems: An MAS Real World Application in 7TH INTERNATIONAL CONFERENCE ON PRACTICAL APPLICATIONS OF AGENTS AND MULTI-AGENT SYSTEMS (PAAMS 2009)
  • Book

    TITLE

    Hybrid Artificial Intelligence Systems

    ISBN

    978-3-642-13768-6
    978-3-642-13769-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-13769-3_51

    DOI

    http://dx.doi.org/10.1007/978-3-642-13769-3_51

    DIMENSIONS

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