Two-Stage Pattern Recognition of Load Curves for Classification of Electricity Customers

  title={Two-Stage Pattern Recognition of Load Curves for Classification of Electricity Customers},
  author={G. J. Tsekouras and N. D. Hatziargyriou and E. Dialynas},
  journal={IEEE Transactions on Power Systems},
This paper describes a two-stage methodology that was developed for the classification of electricity customers. It is based on pattern recognition methods, such as k-means, Kohonen adaptive vector quantization, fuzzy k-means, and hierarchical clustering, which are theoretically described and properly adapted. In the first stage, typical chronological load curves of various customers are estimated using pattern recognition methods, and their results are compared using six adequacy measures. In… CONTINUE READING
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Application of clustering algorithms and self organising maps to classify electricity customers

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