• DocumentCode
    3378092
  • Title

    Non-intrusive electrical load monitoring and profiling methods for applications in energy management systems

  • Author

    Alahmad, Mahmoud ; Hasna, Hosen ; Sordiashie, Evans

  • Author_Institution
    Durham Sch. of Archit., Univ. of Nebraska-Lincoln, Omaha, NE, USA
  • fYear
    2011
  • fDate
    6-6 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    "Phantom Loads" cause energy waste in homes and the built environment as a whole. Consumers spend more than $3 billion a year on "Phantom Load" in the United States alone. The goal of this paper is to conserve energy by increasing consumer awareness on their energy usage and reducing and /or eliminating phantom loads in the built environment. A further goal is to improve upon existing power distribution systems in the built environment with limited hardware additions to increase energy conservation. This paper investigates remote identification of load types and the locations along the electrical circuitry where they (load) are being consumed. The load type and status (on, off, standby) are determined both remotely and in a non-intrusive manner using Non-Intrusive Load Monitoring Methods. Time/Frequency Domain Reflectometry (TDR) is also being investigated to remotely locate energy consumption nodes along the electrical circuitry.
  • Keywords
    energy conservation; load management; power distribution; time-domain reflectometry; United States; electrical circuitry; energy conservation; energy management system; frequency domain reflectometry; nonintrusive electrical load monitoring; power distribution system; profiling method; time domain reflectometry; Artificial neural networks; Conductors; Impedance; Load modeling; Monitoring; Power transmission lines; Training; Non-Intrusive Load Monitoring; Phantom Loads; Power distibution; Time Domain Reflectometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Applications and Technology Conference (LISAT), 2011 IEEE Long Island
  • Conference_Location
    Farmingdale, NY
  • Print_ISBN
    978-1-4244-9878-9
  • Electronic_ISBN
    978-1-4244-9877-2
  • Type

    conf

  • DOI
    10.1109/LISAT.2011.5784233
  • Filename
    5784233