In this chapter pattern recognition methodologies for the study of the load time series were presented. Specifically, the first methodology deals with the classification of the daily chronological load curves of each large electricity customer, in order to estimate his typical days and his respective representative daily load profiles. It is based on classical pattern recognition methods, such as k-means, hierarchical agglomerative clustering, Kohonen adaptive vector quantization...
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