liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A cluster analysis of energy-consuming activities in everyday life
Linköping University, Department of Thematic Studies, Technology and Social Change. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0001-7694-7397
Linköping University, Department of Thematic Studies, Technology and Social Change. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-4133-1204
Linköping University, Department of Thematic Studies, Technology and Social Change. Linköping University, Faculty of Arts and Sciences.
2018 (English)In: Building Research & Information, ISSN 0961-3218, E-ISSN 1466-4321, Vol. 46, no 1, p. 99-113Article in journal (Refereed) Published
Abstract [en]

Flexible consumption in the household sector concerns individuals daily choices and the routines that develop in their households. Targeting household-level energy consumption therefore requires an understanding of energy consumption in relation to individual household members activity patterns. Individual time-diaries reveal when, for how long and where energy-related activities occur, permitting discussions of the temporal flexibility of these activities. Using multiple time-diaries (n=6477) from a population reveals differences in activity patterns in larger groups and permits recorded activities to be clustered. Few explorative studies perform cluster analyses of energy-consuming activities in order to examine when and for how long these activities occur. When clustering is done, it is usually based on socio-economic factors, and not on the activities performed in sequence. This paper reports a time-geographically inspired cluster analysis based on when and for how long some activities requiring electricity are performed in the home by individuals in a population. The presented cluster analysis based on activities gives a new perspective to the discussion of flexible users and provides a basis for deeper analyses, for example, of whether activities are moveable in time for individuals, complementing cluster analysis based on other variables.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS LTD , 2018. Vol. 46, no 1, p. 99-113
Keywords [en]
cluster analysis; consumer habits; energy demand; flexible consumption; flexible users; inhabitant activities; plug loads; time-diaries; time-geography
National Category
Other Environmental Engineering
Identifiers
URN: urn:nbn:se:liu:diva-143898DOI: 10.1080/09613218.2017.1302225ISI: 000417167400008OAI: oai:DiVA.org:liu-143898DiVA, id: diva2:1169725
Note

Funding Agencies|Swedish Energy Agency [37511-1]

Available from: 2017-12-29 Created: 2017-12-29 Last updated: 2018-01-19

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Palm, JennyEllegård, KajsaHellgren, Mattias
By organisation
Technology and Social ChangeFaculty of Arts and Sciences
In the same journal
Building Research & Information
Other Environmental Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 93 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf