dc.contributor.author | Nguyen, KA | |
dc.contributor.author | Stewart, RA | |
dc.contributor.author | Zhang, H | |
dc.contributor.author | Chowdhury, SH | |
dc.contributor.editor | Weber, T | |
dc.contributor.editor | McPhee, MJ | |
dc.contributor.editor | Anderssen, RS | |
dc.date.accessioned | 2018-03-07T03:49:27Z | |
dc.date.available | 2018-03-07T03:49:27Z | |
dc.date.issued | 2015 | |
dc.identifier.isbn | 9780987214355 | |
dc.identifier.uri | http://hdl.handle.net/10072/123396 | |
dc.description.abstract | The current population boom has pushed demand on residential land in most world
metropolitan cities to its extreme limit, and also imposed significant pressure on water security. To ease this
problem, construction of residential apartment building has been the top priority of the governments. With
the rapid advancement in technology, especially in water metering area, the next generation of these
buildings is expected to not only offer their residents a comfortable living area but also make the water
supply and management become much more effectively controllable. To contribute to this goal, the aim of
this study was to develop an autonomous and intelligent system for residential water end-use classification
that could interface with customers and water business managers via a user-friendly smartphone and webbased
applications. The authors recently developed an intelligent application called Autoflow© which served
as a prototype tool to solve the complex problem of autonomously categorising residential water
consumption data into a registry of single and combined events. This model was developed using data
collected in several cities in Australia, and when applied on single residential property, the achieved accuracy
ranged from 86% - 96%. The only limitation of Autoflow© is that when being deployed overseas, a new water
end use dataset must be collected to retrain the model to adapt to the new regions. The ultimate goal of this
study is to develop the next Autoflow© generation, called AutoflowAB, which can be applied in all future
apartment buildings to help disaggregate water consumption autonomously into the six main categories
including: shower, toilet, tap, clothes washer, dishwasher and evaporative air cooler without relying on any
previously collected data for training. The key employed techniques are Dynamic Time Warping (DTW) and
Decision Tree. The model has been tested on 150 residential properties in Australia where the accuracy
ranges from 87 – 94 %, and also planned to be applied on 30 new 7-story buildings in the Commonwealth
Games Village located in Gold Coast Australia. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.publisher | Modelling and Simulation Society of Australia and New Zealand | |
dc.publisher.place | Australia | |
dc.publisher.uri | http://www.mssanz.org.au/modsim2015/ | |
dc.relation.ispartofconferencename | 21st International Congress on Modelling and Simulation (MODSIM) held jointly with the 23rd National Conference of the Australian-Society-for-Operations-Research / DSTO led Defence Operations Research Symposium (DORS | |
dc.relation.ispartofconferencetitle | 21ST INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2015) | |
dc.relation.ispartofdatefrom | 2015-11-29 | |
dc.relation.ispartofdateto | 2015-12-04 | |
dc.relation.ispartoflocation | Gold Coast, AUSTRALIA | |
dc.relation.ispartofpagefrom | 1476 | |
dc.relation.ispartofpagefrom | 7 pages | |
dc.relation.ispartofpageto | 1482 | |
dc.relation.ispartofpageto | 7 pages | |
dc.subject.fieldofresearch | Civil engineering not elsewhere classified | |
dc.subject.fieldofresearchcode | 400599 | |
dc.title | Intelligent model to categorise mechanised water end uses | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dc.type.code | E - Conference Publications | |
dc.description.version | Version of Record (VoR) | |
gro.faculty | Griffith Sciences, Griffith School of Engineering | |
gro.rights.copyright | © 2015 Modellling & Simulation Society of Australia & New Zealand. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the author(s). | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Stewart, Rodney A. | |
gro.griffith.author | Chowdhury, Sanaul H. | |
gro.griffith.author | Zhang, Hong | |
gro.griffith.author | Nguyen, Khoi A. | |