Application of clustering techniques to load pattern-based electricity customer classification

This paper illustrates the application of different methods for classifying the electricity customers on the basis of their electrical behaviour. All the aspects ranging from the feature definition to the clustering techniques and related clustering validity indicators are discussed by using a real case study composed of over 200 non-residential customers. The specific aspects of detection of uncommon load patterns and assessment of the most suitable features are detailed.