• DocumentCode
    1761065
  • Title

    Nonintrusive Load Monitoring: A Temporal Multilabel Classification Approach

  • Author

    Basu, Kaustav ; Debusschere, Vincent ; Bacha, Seddik ; Maulik, Ujjwal ; Bondyopadhyay, Sanghamitra

  • Author_Institution
    G2ELab, Grenoble Alpes Univ., Grenoble, France
  • Volume
    11
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    262
  • Lastpage
    270
  • Abstract
    The article tackles the issues related to the identification of electrical appliances inside residential buildings. Each appliance can be identified from the aggregate power readings at the meter panel. The possibility of applying a temporal multilabel classification approach in the domain of nonintrusive load monitoring is explored (nonevent-based method). A novel set of metafeatures is proposed. The method is tested on sampling rates based on the capabilities of current smart meters. The proposed approach is validated over a dataset of energy readings at residences for a period of a year for 100 houses containing different sets of appliances (water heater, washing machines, etc.). This method is applicable for the demand side management of households in the current limitation of smart meters; from the inhabitants or from the grid operator´s point of view.
  • Keywords
    domestic appliances; pattern classification; power meters; smart meters; smart power grids; demand side management; electrical appliances identification; meter panel; nonevent-based method; nonintrusive load monitoring; residential buildings; sampling rates; smart meters; temporal multilabel classification approach; Hidden Markov models; Home appliances; Informatics; Market research; Monitoring; Time series analysis; Training; Appliances identification; appliances identification; disaggregating algorithms; energy management; machine learning; multi-label classification; multilabel classification; non-intrusive load monitoring; nonintrusive load monitoring; smart grid; smart meter;
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2014.2361288
  • Filename
    6915905