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Publicação
CHARACTERIZATION OF MV CONSUMERS USING HIERARCHICAL CLUSTERING
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Orientador(es)
Resumo(s)
With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. A fair insight on the customers’ behaviour will permit the definition of specific contract aspects based on the different, consumption patterns. In this paper, we propose a Knowledge Discovery in Databases project applied to electricity
consumption data from a utility client’s database. To form
the different customers’ classes, and find a set of representative
consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.
Descrição
Palavras-chave
electricity markets load profiles hierarchical clustering classification
Contexto Educativo
Citação
Ramos, S., Figueiredo, V., Rodrigues, F., Pinheiro, R. & Vale, Z. (2004, July 21-23). Characterization of MV consumers using hierarchical clustering. In Ramos, C. & Vale, Z. (Eds) Proceedings of the International Conference of Knowledge Engineering and Decision Support, ICKEDS´04. (pp. 199-204). Porto. Portugal
Editora
Knowledge Engineering and Decision Support Research Group - GECAD
Licença CC
Sem licença CC