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A cluster analysis of energy-consuming activities in everyday life

Palm, Jenny LU ; Ellegård, Kajsa and Hellgren, Mattias (2018) In Building Research and Information 46(1). p.99-113
Abstract

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... (More)

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.

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author
; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
cluster analysis, consumer habits, energy demand, flexible consumption, flexible users, inhabitant activities, plug loads, time-diaries, time-geography
in
Building Research and Information
volume
46
issue
1
pages
15 pages
publisher
Taylor & Francis
external identifiers
  • scopus:85016117976
ISSN
0961-3218
DOI
10.1080/09613218.2017.1302225
language
English
LU publication?
no
id
e8dcb071-ac13-4d35-bae2-0dbaac5c52cf
date added to LUP
2019-03-11 14:32:19
date last changed
2020-12-29 02:38:24
@article{e8dcb071-ac13-4d35-bae2-0dbaac5c52cf,
  abstract     = {<p>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.</p>},
  author       = {Palm, Jenny and Ellegård, Kajsa and Hellgren, Mattias},
  issn         = {0961-3218},
  language     = {eng},
  month        = {01},
  number       = {1},
  pages        = {99--113},
  publisher    = {Taylor & Francis},
  series       = {Building Research and Information},
  title        = {A cluster analysis of energy-consuming activities in everyday life},
  url          = {http://dx.doi.org/10.1080/09613218.2017.1302225},
  doi          = {10.1080/09613218.2017.1302225},
  volume       = {46},
  year         = {2018},
}