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Conference Paper: An alternative use of power quality information - load signature studies & applications

TitleAn alternative use of power quality information - load signature studies & applications
Authors
KeywordsLoad signature
Smart metering
Load disaggregation
Power quality
Equipment health monitoring
Visualization tool
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000316
Citation
The IEEE 15th International Conference on Harmonics and Quality of Power (ICHQP 2012), Hong Kong, 17-20 June 2012. In Proceedings of the 15th ICHQP, 2012, p. 150-155 How to Cite?
AbstractElectrical appliances have distinct consumption patterns of which can be interpreted as signatures and used for various applications. Based on traditional power quality monitoring techniques, coupled with optimization algorithms and innovative pattern recognition methods and stochastic simulation tools, we are going to demonstrate in this paper how we defined different load signatures systematically, structured a disaggregation framework to identify and track individual appliances, assembled different Monte-Carlo simulators for testing purposes and proposed some innovative applications such as smart metering and equipment health monitoring using different load signatures. © 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/153080
ISBN

 

DC FieldValueLanguage
dc.contributor.authorCheng, JWMen_US
dc.contributor.authorNg, SKKen_US
dc.contributor.authorLiang, Jen_US
dc.contributor.authorZhong, Jen_US
dc.date.accessioned2012-07-16T09:55:45Z-
dc.date.available2012-07-16T09:55:45Z-
dc.date.issued2012en_US
dc.identifier.citationThe IEEE 15th International Conference on Harmonics and Quality of Power (ICHQP 2012), Hong Kong, 17-20 June 2012. In Proceedings of the 15th ICHQP, 2012, p. 150-155en_US
dc.identifier.isbn978-1-4673-1943-0-
dc.identifier.urihttp://hdl.handle.net/10722/153080-
dc.description.abstractElectrical appliances have distinct consumption patterns of which can be interpreted as signatures and used for various applications. Based on traditional power quality monitoring techniques, coupled with optimization algorithms and innovative pattern recognition methods and stochastic simulation tools, we are going to demonstrate in this paper how we defined different load signatures systematically, structured a disaggregation framework to identify and track individual appliances, assembled different Monte-Carlo simulators for testing purposes and proposed some innovative applications such as smart metering and equipment health monitoring using different load signatures. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000316-
dc.relation.ispartofInternational Conference on Harmonics and Quality of Power Proceedingsen_US
dc.rightsInternational Conference on Harmonics and Quality of Power Proceedings. Copyright © IEEE.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectLoad signature-
dc.subjectSmart metering-
dc.subjectLoad disaggregation-
dc.subjectPower quality-
dc.subjectEquipment health monitoring-
dc.subjectVisualization tool-
dc.titleAn alternative use of power quality information - load signature studies & applicationsen_US
dc.typeConference_Paperen_US
dc.identifier.emailCheng, JWM: john.cheng@c1p.com.hken_US
dc.identifier.emailNg, SKK: kkng@eee.hku.hk-
dc.identifier.emailLiang, J: jian.liang@clp.com.hk-
dc.identifier.emailZhong, J: jzhong@eee. hku.hk-
dc.identifier.authorityZhong, J=rp00212en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICHQP.2012.6381297-
dc.identifier.scopuseid_2-s2.0-84873466328-
dc.identifier.hkuros201939en_US
dc.identifier.spage150-
dc.identifier.epage155-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130408-

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