Vytautas Magnus University Research Management System (VDU CRIS)
 
Use this url to cite publication: https://hdl.handle.net/20.500.12259/44591

Application of clustering for electricity usage patterns detection

Type of publication
Konferencijų tezės nerecenzuojamame leidinyje / Conference theses in non-peer-reviewed publication (T2)
Author(s)
AuthorAffiliation
Krilavičius, Tomas 
Taikomosios informatikos katedra / Department of Applied Informatics 
LT
Baltijos pažangių technologijų institutas, Vilnius
Title
Application of clustering for electricity usage patterns detection
[en]
Is part of
Data analysis methods for software systems : 6th international workshop, Druskininkai, Lithuania, December 4-6, 2014 : [abstracts book]. Vilnius : Vilnius University
Date Issued
Date
2014
Publisher
Vilnius : Vilnius University
Extent
p. 31-31
URI
URI
https://hdl.handle.net/20.500.12259/44591
Field of Science
Abstract (en)

Electricity usage patterns are important for suppliers in order to ensure efficient electricity distribution and pricing, and for users to save costs. Smart meters provide high granularity electricity usage data (e.g., hourly), which can be used to extract patterns of daily/weekly/monthly/ yearly electricity usage. In this research we propose a method for grouping electricity users based on hourly electricity usage data, based on the k-means clustering and periodicity analysis, with semi-automatic parameters selection based on adequacy measure. We illustrate the method with 1500 electricity users 3 years’ data, discuss pros and cons of the methods, and future plans. Acknowledgements We thank Binar Solutions for cooperation and European Social Fund and the Republic of Lithuania (grant number VP1-3.2-ŠMM-01-K-02-002) for funding.

Type of document
type::text::conference output::conference proceedings::conference paper
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)
ISBN (of the container)
9789986680505
Other Identifier(s)
VDU02-000017068