Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1476
Título: Zonal prices analysis supported by a data mining based methodology
Autor: Ferreira, Judite
Ramos, Sérgio
Vale, Zita
Soares, João
Palavras-chave: Clustering
Data mining
Locational Marginal Prices (LMP)
Zonal pricing
Data: 2010
Editora: IEEE
Resumo: A methodology based on data mining techniques to support the analysis of zonal prices in real transmission networks is proposed in this paper. The mentioned methodology uses clustering algorithms to group the buses in typical classes that include a set of buses with similar LMP values. Two different clustering algorithms have been used to determine the LMP clusters: the two-step and K-means algorithms. In order to evaluate the quality of the partition as well as the best performance algorithm adequacy measurements indices are used. The paper includes a case study using a Locational Marginal Prices (LMP) data base from the California ISO (CAISO) in order to identify zonal prices.
URI: http://hdl.handle.net/10400.22/1476
ISBN: 978-1-4244-6549-1
978-1-4244-8357-0
ISSN: 1944-9925
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5590078
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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