• DocumentCode
    138335
  • Title

    SocketWatch: An autonomous appliance monitoring system

  • Author

    Ganu, Tanuja ; Rahayu, Dwi ; Seetharam, Deva P. ; Kunnath, Rajesh ; Kumar, Amit P. ; Arya, Vijay ; Husain, Saiful A. ; Kalyanaraman, Shivkumar

  • Author_Institution
    IBM Res., Bangalore, India
  • fYear
    2014
  • fDate
    24-28 March 2014
  • Firstpage
    38
  • Lastpage
    43
  • Abstract
    A significant amount of energy is wasted by electrical appliances when they operate inefficiently either due to anomalies and/or incorrect usage. To address this problem, we present SocketWatch - an autonomous appliance monitoring system. SocketWatch is positioned between a wall socket and an appliance. SocketWatch learns the behavioral model of the appliance by analyzing its active and reactive power consumption patterns. It detects appliance malfunctions by observing any marked deviations from these patterns. SocketWatch is inexpensive and is easy to use: it neither requires any enhancement to the appliances nor to the power sockets nor any communication infrastructure. Moreover, the decentralized approach avoids communication latency and costs, and preserves data privacy. Real world experiments with multiple appliances indicate that SocketWatch can be an effective and inexpensive solution for reducing electricity wastage.
  • Keywords
    data privacy; domestic appliances; home computing; power engineering computing; unsupervised learning; SocketWatch system; active power consumption pattern; appliance behavioral model; autonomous appliance monitoring system; communication infrastructure; data privacy; decentralized approach; electrical appliances; electricity wastage reduction; power sockets; reactive power consumption pattern; Monitoring; Power demand; Reactive power; Refrigerators; Washing machines; Water heating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications (PerCom), 2014 IEEE International Conference on
  • Conference_Location
    Budapest
  • Type

    conf

  • DOI
    10.1109/PerCom.2014.6813941
  • Filename
    6813941