• DocumentCode
    2909765
  • Title

    Data Acquisition and Sharing for a Distributed Intelligent DSM System

  • Author

    Andria, Gregorio ; Lecce, Vincenzo Di

  • Author_Institution
    Politecnico di Bari, Taranto
  • fYear
    2007
  • fDate
    1-3 May 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Artificial intelligence has devised solutions for a wide class of scheduling problems that can be applied also to power management and in general to building-automation. This paper presents one of these methods, based on the multi agent system (MAS) paradigm for a demand-side management system.
  • Keywords
    data acquisition; demand side management; multi-agent systems; power engineering computing; power system management; MAS; artificial intelligence; building-automation; data acquisition; demand-side management system; distributed intelligent DSM system; multi agent system; power management; scheduling problems; Artificial intelligence; Control systems; Current measurement; Data acquisition; Electrical equipment industry; Energy consumption; Energy management; Intelligent systems; Load management; Power system management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
  • Conference_Location
    Warsaw
  • ISSN
    1091-5281
  • Print_ISBN
    1-4244-0588-2
  • Type

    conf

  • DOI
    10.1109/IMTC.2007.379120
  • Filename
    4258151