• DocumentCode
    526740
  • Title

    Electrical power anticipation for Smart Home Product based on evolutionary algorithms

  • Author

    Yingshi, Kang

  • Author_Institution
    Zhejiang Bus. Technol. Inst., China
  • Volume
    7
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    523
  • Lastpage
    526
  • Abstract
    In artificial intelligence, anticipation is the concept of an agent making decisions based on predictions, expectations, or beliefs about the future states. It is widely recognized that anticipation is a vital component of complex natural cognitive systems. Anticipation seems to be suitable for key role in design and realization of anticipatory behavior. In this paper, a briefly description of the Power Management in Smart Home Product (PMSHP) simulator is given. We present an overview about the used types of the evolutionary algorithms. The evaluation of the simulator with and without anticipation is presented, where anticipation is based on evolutionary algorithms.
  • Keywords
    artificial intelligence; cognitive systems; evolutionary computation; power engineering computing; agent making decisions; artificial intelligence; electrical power anticipation; evolutionary algorithms; natural cognitive systems; power management; smart home product; Prediction algorithms; Predictive models; Electrical Power Anticipation; Evolutionary Algorithms; Smart Home Product;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5565071
  • Filename
    5565071