• DocumentCode
    3720759
  • Title

    Possible use of evolving c-regression clustering for energy consumption profiles classification

  • Author

    Dejan Dov?an;Igor ?krjanc

  • Author_Institution
    Laboratory of Modelling, Simulation and Control, Faculty of Electrical Engineering, University of Ljubljana, Tr?a?ka 25, SI-1000, Slovenia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper an idea for classification of energy consumption profiles using an evolving c-regression method is presented. Cluster prototypes (centers) are usually defined as a mean of data around the center. The cluster center is a vector of numerical values. The method presented in this paper uses Takagi-Sugeno fuzzy models as a cluster prototype. Beside the method description also preliminary results of energy consumption profiles classification are given.
  • Keywords
    "Clustering algorithms","Prototypes","Adaptation models","Data models","Energy consumption","Takagi-Sugeno model","Covariance matrices"
  • Publisher
    ieee
  • Conference_Titel
    Evolving and Adaptive Intelligent Systems (EAIS), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/EAIS.2015.7368792
  • Filename
    7368792