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Energy Research & Social Science
Article . 2017 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Energy Research & Social Science
Article
License: CC BY
Data sources: UnpayWall
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Understanding the timing of energy demand through time use data: Time of the day dependence of social practices

Authors: Jacopo Torriti;

Understanding the timing of energy demand through time use data: Time of the day dependence of social practices

Abstract

The time dependence of social practices at specific points of the day shapes the timing of energy demand. This paper aims to assess how dependent energy-related social practices in the household are in relation to the time of the day. It analyses the 2005 UK Office for\ud National Statistics National Time Use Survey making use of statistically derived time dependence metrics for six social practices: preparing food, washing, cleaning, washing clothes, watching TV and using a computer. The\ud focus is on social practices over temporal scales of different days of the week and months of the year. The main findings show that: washing has the highest value for the time dependence metric; using computers is the\ud least time-dependent practice; Tuesdays, Wednesdays and Thursdays have the highest time dependence for all practices; and certain energy-related practices have higher seasonal dependence than others.

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United Kingdom
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
110
Top 1%
Top 10%
Top 1%
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