Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/60657
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Informatika / Computer science (N009)
Author(s): Užupytė, Rūta;Babarskis, Tomas;Krilavičius, Tomas
Title: The Generation of electricity load profiles using K-means clustering algorithm
Is part of: Journal of universal computer science. Graz : Graz University of Technology, 2018, Vol. 24, iss.9
Extent: p. 1306-1329
Date: 2018
Note: Online Edition: ISSN 0948-6968. Funding Agency Grant Number XJTLU Key Programme Special Fund, AI University Research Centre (AI-URC), Xi'an Jiaotong-Liverpool University, China. no. KSF-P-02
Keywords: Clustering technique;Electricity patterns;Load profiling;Time-series clustering
Abstract: Accurate information about the actual behavior of electricity users is essential to the electricity suppliers in order to ensure efficient decisions in planning pricing, e.g., designing tariffs and load planning. Load profiles of customers is a straightforward source for such data, however it should be analyzed to extract relevant information. Most of the existing techniques are tested with small data sets or over short periods, which does not allow to investigate seasonality influence. We present a new methodology for the grouping of electricity customers based on the similarities of their (hourly) consumption patterns. Approach is based on the periodicity analysis and well-known clustering technique - K-means, which is applied for identification for separate users load profiles and clustering of load profiles. Values of model parameter are selected using adequacy measures. Finally, the results obtained by this methodology with a data set of 3753 electricity customers are presented, and future plans discussed
Internet: http://www.jucs.org/jucs_24_9/the_generation_of_electricity/jucs_24_09_1306_1329_uzupyte.pdf
http://www.jucs.org/jucs_24_9/the_generation_of_electricity/jucs_24_09_1306_1329_uzupyte.pdf
Affiliation(s): Baltijos pažangių technologijų institutas
Baltijos pažangių technologijų institutas, Vilnius
Informatikos fakultetas
Taikomosios informatikos katedra
Vilniaus universitetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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