• DocumentCode
    674339
  • Title

    The estimation of electrical energy consumption in abnormal automatic meter reading system using multiple linear regression

  • Author

    Kantikoon, V. ; Kinnares, Vijit

  • Author_Institution
    Dept. of Electr. Eng., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
  • fYear
    2013
  • fDate
    26-29 Oct. 2013
  • Firstpage
    826
  • Lastpage
    830
  • Abstract
    This paper presents the application of multiple linear regression (MLR) to estimate the electrical energy consumption in case of the irregularity in the automatic meter reading (AMR) system. This event occurs in a delivery metering system such as problems from setting and connecting meter with the wrong electrical system, broken metering accessories, etc. The estimation is performed by using MATLAB. Estimated results show that the mean absolute percentage error (MAPE) of the lost electrical energy estimation is less than 3.65%.
  • Keywords
    automatic meter reading; energy consumption; regression analysis; AMR system; MAPE; MATLAB; MLR; automatic meter reading system; connecting meter; delivery metering system; electrical energy consumption estimation; mean absolute percentage error; setting meter; Electricity; Energy consumption; Estimation; Linear regression; Loss measurement; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2013 International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4799-1446-3
  • Type

    conf

  • DOI
    10.1109/ICEMS.2013.6713143
  • Filename
    6713143