• DocumentCode
    2470765
  • Title

    Evolutionary computation and genetic algorithms for energy management and conservation

  • Author

    Garzia, Fabio ; Veca, Giuseppe M.

  • Author_Institution
    Dipt. di Ingegneria Elettrica, Universita degli Studi "La Sapienza", Rome, Italy
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    386
  • Lastpage
    393
  • Abstract
    A genetic algorithm based strategy that can be implemented in a low cost electronic microcontroller for energy management and conservation application is presented. It is capable of guaranteeing high performance, adapting and evolving its behavior according to the environmental controlled parameters change.
  • Keywords
    energy conservation; energy management systems; genetic algorithms; microcontrollers; power system control; building energy flows control; building energy flows management; energy conservation; energy management; environmental controlled parameters change; evolutionary computation; genetic algorithms; high performance; low cost electronic microcontroller; Buildings; Control systems; Costs; Energy management; Environmental management; Evolutionary computation; Genetic algorithms; Hardware; Microcontrollers; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Energy Conference, 2002. INTELEC. 24th Annual International
  • Print_ISBN
    0-7803-7512-2
  • Type

    conf

  • DOI
    10.1109/INTLEC.2002.1048685
  • Filename
    1048685