An experimental design for identification of multiple load appliances

Conference proceedings article

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Publication Details

Author list: Buddhahai B., Rakkwamsuk P., Wongseree W.

Publisher: Hindawi

Publication year: 2017

Start page: 493

End page: 496

Number of pages: 4

ISBN: 9781538604496

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039904836&doi=10.1109%2fECTICon.2017.8096282&partnerID=40&md5=4e455919eb97125af0b1f0f0168b6be5

Languages: English-Great Britain (EN-GB)

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Abstract

This paper presents an experimental design for building an efficient energy disaggregation system through multi-label classification approach. The proposed system requires a single point measurement of common electrical parameter data at aggregate electric circuit to identify the operating status of multiple appliances. Some multi-label classification algorithms were evaluated to select the best one that could provide the optimal classification performance. The results showed that the Binary Relevance (BR) and Decision Tree (C4.5) as a pair of the multi-label classifier and based classifier could identify the appliances by effective processing time with an accuracy of 99% for water heater and air conditioner and above 86% for lightings and other utilities. ฉ 2017 IEEE.

Keywords

Energy disaggregation, Load identification