Academic Journal
Water use signature patterns for analyzing household consumption using medium resolution meter data.
| Τίτλος: | Water use signature patterns for analyzing household consumption using medium resolution meter data. |
|---|---|
| Συγγραφείς: | Cardell-Oliver, Rachel |
| Πηγή: | Water Resources Research; Dec2013, Vol. 49 Issue 12, p8589-8599, 11p |
| Θεματικοί όροι: | Water use, Water supply, Conservation of natural resources, Water conservation, Drinking water, Residential water consumption |
| Περίληψη: | Providers of potable water to households and businesses are charged with conserving water. Addressing this challenge requires accurate information about how water is actually being used. So smart meters are being deployed on a large scale by water providers to collect medium resolution water use data. This paper presents water use signature patterns, the first technique designed for medium resolution meters for discovering patterns that explain how households use water. Signature patterns are clusters (subsets) of water meter readings specified by patterns on volumes and calendar dates. Four types of signature pattern are introduced in this paper: continuous flow days; exceptional peak use days; programmed patterns with recurrent hours; and normal use partitioned by season and period of the day. Signature patterns for each household are calculated using efficient selection rules that scale for city populations and years of data collection. Data from a real-world, large-scale, smart metering trial are analyzed using water use signature patterns. The results demonstrate that water use behaviors are distinctive, for both individuals and populations. Signatures can identify behaviors that are promising targets for water conservation. Pattern discovery can be automated with an efficient and scalable computer program. By identifying relevant consumption patterns in medium resolution meter data, water use signature patterns can help to achieve the water conservation potential of large-scale smart metering. [ABSTRACT FROM AUTHOR] |
| Copyright of Water Resources Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=00431397&ISBN=&volume=49&issue=12&date=20131201&spage=8589&pages=8589-8599&title=Water Resources Research&atitle=Water%20use%20signature%20patterns%20for%20analyzing%20household%20consumption%20using%20medium%20resolution%20meter%20data.&aulast=Cardell-Oliver%2C%20Rachel&id=DOI:10.1002/2013WR014458 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 93876580 RelevancyScore: 835 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 834.639221191406 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Water use signature patterns for analyzing household consumption using medium resolution meter data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cardell-Oliver%2C+Rachel%22">Cardell-Oliver, Rachel</searchLink> – Name: TitleSource Label: Source Group: Src Data: Water Resources Research; Dec2013, Vol. 49 Issue 12, p8589-8599, 11p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Water+use%22">Water use</searchLink><br /><searchLink fieldCode="DE" term="%22Water+supply%22">Water supply</searchLink><br /><searchLink fieldCode="DE" term="%22Conservation+of+natural+resources%22">Conservation of natural resources</searchLink><br /><searchLink fieldCode="DE" term="%22Water+conservation%22">Water conservation</searchLink><br /><searchLink fieldCode="DE" term="%22Drinking+water%22">Drinking water</searchLink><br /><searchLink fieldCode="DE" term="%22Residential+water+consumption%22">Residential water consumption</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Providers of potable water to households and businesses are charged with conserving water. Addressing this challenge requires accurate information about how water is actually being used. So smart meters are being deployed on a large scale by water providers to collect medium resolution water use data. This paper presents water use signature patterns, the first technique designed for medium resolution meters for discovering patterns that explain how households use water. Signature patterns are clusters (subsets) of water meter readings specified by patterns on volumes and calendar dates. Four types of signature pattern are introduced in this paper: continuous flow days; exceptional peak use days; programmed patterns with recurrent hours; and normal use partitioned by season and period of the day. Signature patterns for each household are calculated using efficient selection rules that scale for city populations and years of data collection. Data from a real-world, large-scale, smart metering trial are analyzed using water use signature patterns. The results demonstrate that water use behaviors are distinctive, for both individuals and populations. Signatures can identify behaviors that are promising targets for water conservation. Pattern discovery can be automated with an efficient and scalable computer program. By identifying relevant consumption patterns in medium resolution meter data, water use signature patterns can help to achieve the water conservation potential of large-scale smart metering. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Water Resources Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=93876580 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/2013WR014458 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 8589 Subjects: – SubjectFull: Water use Type: general – SubjectFull: Water supply Type: general – SubjectFull: Conservation of natural resources Type: general – SubjectFull: Water conservation Type: general – SubjectFull: Drinking water Type: general – SubjectFull: Residential water consumption Type: general Titles: – TitleFull: Water use signature patterns for analyzing household consumption using medium resolution meter data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cardell-Oliver, Rachel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 00431397 Numbering: – Type: volume Value: 49 – Type: issue Value: 12 Titles: – TitleFull: Water Resources Research Type: main |
| ResultId | 1 |