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Dynamic clustering of residential electricity consumption time seriesdata based on Hausdorff distance

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Dynamic clustering of residential electricity consumption time seriesdata based on Hausdorff distance

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Benítez Sánchez, IJ.; Diez Ruano, JL.; Quijano Lopez, A.; Delgado Espinos, I. (2016). Dynamic clustering of residential electricity consumption time seriesdata based on Hausdorff distance. Electric Power Systems Research. 140:517-526. doi:10.1016/j.epsr.2016.05.023

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/87902

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Title: Dynamic clustering of residential electricity consumption time seriesdata based on Hausdorff distance
Author:
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Instituto de Tecnología Eléctrica - Institut de Tecnologia Elèctrica
Issued date:
Abstract:
[EN] As the analysis of electrical loads is reaching data measured from low voltage power distribution networks, there is a need for the main agents involved in the operation and management of the power grids to segment ...[+]
Subjects: Dynamic clustering , Data mining , Load profilesa
Copyrigths: Reserva de todos los derechos
Source:
Electric Power Systems Research. (issn: 0378-7796 ) (eissn: 1873-2046 )
DOI: 10.1016/j.epsr.2016.05.023
Publisher:
Elsevier
Publisher version: http://dx.doi. org/10.1016/j.epsr.2016.05.023
Thanks:
The data set for the Spanish case used in this work has been provided by the Spanish DSO Iberdrola Distribucion Electrica S.A. as part of the works developed in the Spanish R&D project GAD. The GAD or "Active Demand ...[+]
Type: Artículo

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