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dc.contributor.convenorEngineers Australiaen_US
dc.contributor.authorNguyen, Khoien_US
dc.contributor.authorZhang, Hongen_US
dc.contributor.authorStewart, Rodneyen_US
dc.contributor.editorValentine, E.M.en_US
dc.date.accessioned2017-04-24T09:23:03Z
dc.date.available2017-04-24T09:23:03Z
dc.date.issued2011en_US
dc.date.modified2013-03-24T22:05:08Z
dc.identifier.refurihttp://www.iahr2011.org/en_US
dc.identifier.urihttp://hdl.handle.net/10072/42385
dc.description.abstractThe disaggregation of domestic water consumption flow-trace data into end use event categories still remains a complex challenge to be resolved in the field of urban water management. Domestic end use studies currently utilise software and analyst experience to disaggregate flow data into end use events (e.g. faucet, dishwasher, toilet, etc.),which often requires in excess of two hours per home to disaggregate two weeks of flow data. An existing available database of end use events for over 200 households located in South-east Queensland (SEQ), Australia was utilised for the purpose of this study, which ultimately aims to automate the trace analysis process. One of the first research issues to be addressed in this research was to develop a prototype that encapsulates the wide variation in pattern characteristics for each end use event, in order to reduce unnecessary computation and memory resource required to analyse the entire end use database. To achieve this aim, the study employed the Dynamic Time Warping algorithm. The outcome of this practice is a series of prototypes representing the predominant domestic water end use events in a household (e.g. shower, clothes washer, etc.). Future work will employ the prototypes in an artificial network model to automate the end use disaggregation process. Moreover, validation of its accuracy will be examined through predicting end uses for a new sample of smart metered households.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherIAHRen_US
dc.publisher.placeBrisbane, Australiaen_US
dc.publisher.urihttp://www.iahr.net/e-shop/store/viewItem.asp?idProduct=138en_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencename34th IAHR World Congressen_US
dc.relation.ispartofconferencetitleProceedings of the 34th IAHR World Congress 33rd Hydrology & Water Resources Symposium 10th Conference on Hydraulics in Water Engineeringen_US
dc.relation.ispartofdatefrom2011-06-26en_US
dc.relation.ispartofdateto2011-07-01en_US
dc.relation.ispartoflocationBrisbane, Australiaen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchWater Resources Engineeringen_US
dc.subject.fieldofresearchNumerical Analysisen_US
dc.subject.fieldofresearchcode090509en_US
dc.subject.fieldofresearchcode010301en_US
dc.titleApplication of Dynamic Time Warping algorithm in prototype selection for the disaggregation of domestic water flow data into end use eventsen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightSelf-archiving of the author-manuscript version is not yet supported by this conference Please refer to the conference link for access to the definitive, published version or contact the authors for more informationen_US
gro.date.issued2011
gro.hasfulltextNo Full Text


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