DISCOVERING AND LABELLING OF TEMPORAL GRANULARITY PATTERNS IN ELECTRIC POWER DEMAND WITH A BRAZILIAN CASE STUDY
ABSTRACT Clustering is commonly used to group data in order to represent the behaviour of a system as accurately as possible by obtaining patterns and profiles. In this paper, clustering is applied with partitioning-clustering techniques, specifically, Partitioning around Medoids (PAM) to analyse lo...
Main Authors: | Gabriela Servidone, Dante Conti |
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Format: | Article |
Language: | English |
Published: |
Sociedade Brasileira de Pesquisa Operacional
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Series: | Pesquisa Operacional |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382016000300575&lng=en&tlng=en |
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