Use this url to cite publication: https://hdl.handle.net/20.500.12259/57411
Identification of electricity consumption profiles based on smart meters data
Type of publication
Straipsnis kitoje duomenų bazėje / Article in other database (S4)
Author(s)
| Author | Affiliation | |||
|---|---|---|---|---|
LT | Baltijos pažangių technologijų institutas, Vilnius | LT | ||
LT | Baltijos pažangių technologijų institutas, Vilnius | LT | ||
Babarskis, Tomas | Binar Solutions, Lithuania | LT |
Title
Identification of electricity consumption profiles based on smart meters data
Is part of
International journal of design, analysis and tools for integrated circuits and systems (IJDATICS). Hong Kong : Solari Co, 2017, vol. 6, no. 1
Date Issued
| Date |
|---|
2017 |
Publisher
Hong Kong : Solari Co
Is Referenced by
Extent
p. 44-47
Abstract (en)
The changes and evolution of the electricity distribution has provided new possibilities to the electricity providers for developing a better marketing and trading strategies. A key aspect for designing specific tariff structures is the identification of customers groups exhibiting similar consumption patterns. This paper presents a new methodology for the classification of electricity customers on the basis of their electrical behaviour. Approach is based on the periodicity analysis and well known clustering technique – k–means. The paper presents the classification results obtained on a set of 3753 industrial users, whose consumption has been monitored for 3 years.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Taivanas / Taiwan Province of China (TW)
Description
eISSN 2071-2987
ISSN (of the container)
2223-523X
Other Identifier(s)
VDU02-000022097