• DocumentCode
    246126
  • Title

    Energy Saving by Ambient Intelligence Techniques

  • Author

    Cristani, Matteo ; Karafili, Erisa ; Tomazzoli, Claudio

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Verona, Verona, Italy
  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    157
  • Lastpage
    164
  • Abstract
    Nowadays the problem of energy consumption is becoming a pressing problem. We present an innovative system named Elettra able to allow people to monitor and control energy consumption in one or more buildings. For improving Elettra we introduce different methods taken from ambient intelligence. Through these methods we can infer energy consumption, construct a plan for decreasing energy consumption, improve this plan and adopt it to the system. The implementation of these methods to Elettra helps its automation and increases its efficiency.
  • Keywords
    ambient intelligence; buildings (structures); energy conservation; energy consumption; learning (artificial intelligence); power engineering computing; Elettra; ambient intelligence techniques; building energy consumption; energy saving; Ambient intelligence; Buildings; Databases; Electricity; Energy consumption; Planning; ambient intelligence; ambient intelligence techniques; energy saving; intelligent systems; machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network-Based Information Systems (NBiS), 2014 17th International Conference on
  • Conference_Location
    Salerno
  • Print_ISBN
    978-1-4799-4226-8
  • Type

    conf

  • DOI
    10.1109/NBiS.2014.39
  • Filename
    7023948