• DocumentCode
    1359616
  • Title

    Analysis and Methodology to Segregate Residential Electricity Consumption in Different Taxonomies

  • Author

    Hobby, John D. ; Shoshitaishvili, Alexander ; Tucci, Gabriel H.

  • Author_Institution
    Bell Labs., Alcatel-Lucent, Murray Hill, NJ, USA
  • Volume
    3
  • Issue
    1
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    217
  • Lastpage
    224
  • Abstract
    This work presents a two-stage model for the data analysis of electricity consumption. The first stage divides the consumption in two parts: weather- and illumination-related, and residual consumption, where weather-related consumption refers to heating, ventilation, and air conditioning (HVAC). Given the hourly total consumption, we obtain the hourly weather-related and illumination-related electricity consumption, and subtract this out to get residual consumption. The second stage of the model is a flexible, agent-based analytical tool that allows disaggregation of residual consumption into a sum of consumptions by different groups of appliances. This tool can be used for a variety of applications including an optimization of demand-side management and/or a development of a set of desirable patterns for schedules of electricity-related activities in households (within an acceptable range of course) in order to minimize negative effects of high peak demand.
  • Keywords
    HVAC; demand side management; domestic appliances; energy consumption; power distribution; HVAC; agent-based analytical tool; appliances; demand-side management optimization; electricity-related activities; heating ventilation and air conditioning; households; illumination-related electricity consumption; power distribution system; residential electricity consumption; residual consumption; taxonomies; Analytical models; Computational modeling; Electricity; Home appliances; Lighting; Mathematical model; Polynomials; Electricity consumption; RECS survey; smart grid; smart metering; time of use survey;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2011.2167353
  • Filename
    6059462