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Characterization and identification of electrical customers through the use of self-organizing maps and daily load parameters
dc.contributor.author | Valero Verdú, Sergio | |
dc.contributor.author | Ortiz García, Mario | |
dc.contributor.author | García Franco, Francisco J. | |
dc.contributor.author | Encinas Redondo, Nuria | |
dc.contributor.author | Gabaldón Marín, Antonio | |
dc.contributor.author | Molina García, Ángel | |
dc.contributor.author | Gómez Lázaro, Emilio | |
dc.date.accessioned | 2009-10-02T06:50:27Z | |
dc.date.available | 2009-10-02T06:50:27Z | |
dc.date.issued | 2004-10 | |
dc.identifier.citation | VALERO VERDÚ, Sergio et al. Characterization and identification of electrical customers through the use of self-organizing maps and daily load parameters. En: Power Systems Conference and Exposition (2004: New York). IEEE PES. Power Systems Conference & Exposition. 10-13 October, 2004. New York: IEEE Power & Energy Society, 2004. vol. 2. Pp. 899- 906. | es |
dc.description.abstract | This paper shows the capacity of modern computational techniques such as the self-organizing map (SOM) as a methodology to achieve the classification of the electrical customers in a commercial or geographical area. This approach allows to extract the pattern of customer behavior from historic load demand series. Several ways of data analysis from load curves can be used to get different input data to “feed” the neural network. In this work, we propose two methods to improve customer clustering: the use of frequency-based indices and the use of the hourly load curve. Results of a case study developed on a set of different spanish customers and a comparison between the two approachs proposed here are presented. | es |
dc.format | application/pdf | |
dc.language.iso | eng | es |
dc.publisher | IEEE Power & Energy Society (PES) | es |
dc.rights | Copyright © 2004 IEEE | es |
dc.title | Characterization and identification of electrical customers through the use of self-organizing maps and daily load parameters | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.subject.other | Ingeniería Eléctrica | es |
dc.subject | Redes neuronales artificiales | es |
dc.subject | Segmentación de clientes eléctricos | es |
dc.subject | Mercado eléctrico | es |
dc.subject | Análisis tiempo-frecuencia | es |
dc.subject | Agregación de cliente | es |
dc.subject | Artificial neural networks | es |
dc.subject | Electrical customer segmentation | es |
dc.subject | Electricity market | es |
dc.subject | Time-Frequency analysis | es |
dc.identifier.uri | http://hdl.handle.net/10317/1143 | |
dc.identifier.doi | 10.1109/PSCE.2004.1397641 |
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