• DocumentCode
    2805068
  • Title

    Electricity customer characterization based on different representative load curves

  • Author

    Panapakidis, I.P. ; Alexiadis, M.C. ; Papagiannis, G.K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • fYear
    2012
  • fDate
    10-12 May 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Load profiling provides the necessary information about daily demand patterns for the short and medium-term actions οf retailers and utilities. Consumer characterization is a two stage approach: In the first stage, the daily load curves of each consumer are classified in a certain number of clusters. Each cluster constitutes a load profile. In the second stage, one of these profiles is chosen as representative for the consumer and a new classification takes places between the load profiles of each customer, leading to the formulation of customer classes. This paper examines various approaches for the formulation of the consumer classes during the first stage. A specific profile is chosen and the second stage procedure takes place. A criterion based on cost of purchased electricity is introduced in order to evaluate the results of the clustering of the second stage.
  • Keywords
    demand side management; power markets; demand side management; electricity customer characterization; load profiling; purchased electricity cost; representative load curves; Clustering algorithms; Computers; Educational institutions; Electricity; Electronic mail; Shape; Vectors; Electricity customer characterization; demand side management; load profiles; pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2012 9th International Conference on the
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-4673-0834-2
  • Electronic_ISBN
    978-1-4673-0832-8
  • Type

    conf

  • DOI
    10.1109/EEM.2012.6254761
  • Filename
    6254761