Understanding domestic appliance use through their linkages to common activities

Lina Stankovic, Charlie Wilson, Jing Liao, Vladimir Stankovic, Richard Hauxwell-Baldwin, David Murray, Mike Coleman

Research output: Contribution to conferencePaper

Abstract

Activities are a descriptive term for the common ways households spend their time. Examples include daily routines such as cooking, doing laundry, and Computing. Smart energy meter data can be used to generate time profiles of activities that are meaningful to households’ own lived experience. Activities are therefore a lens through which energy feedback to households can be made salient and understandable. This paper demonstrates how hourly time profiles of household activities can be inferred from smart energy meter data, supplemented by appliance monitors and environmental sensors. In-depth interviews and home surveys are used to identify appliances and devices used for a range of activities. These relationships between te chnologies and activities are captured in an ‘activity ontology’ that can be applied to smart meter data to make inferences on hourly time profiles of up to nine everyday activities. Results are presented from six homes participating in a UK trial of smart home technologies. The duration of activities and when they are carried out is examined within households. The time profile of domestic activities has routine characteristics but these tend to vary widely between households with different socio-demo graphic characteristics. Analysing the energy consumption associated with different activities leads to a useful means of providing activity-itemised energy feedback, and also reveals certain households to be high energy-using across a range of activities.

Conference

Conference8th International Conference on Energy Efficiency in Domestic Appliances and Lighting
Abbreviated titleEEDAL'15
CountryUnited Kingdom
CityLucerne
Period26/08/1528/08/15

Fingerprint

Domestic appliances
Smart meters
Feedback
Laundries
Cooking
Ontology
Lenses
Energy utilization
Sensors

Keywords

  • smart energy meter
  • smart energy control
  • appliance monitors
  • household energy use

Cite this

Stankovic, L., Wilson, C., Liao, J., Stankovic, V., Hauxwell-Baldwin, R., Murray, D., & Coleman, M. (2015). Understanding domestic appliance use through their linkages to common activities. Paper presented at 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting, Lucerne, United Kingdom.
Stankovic, Lina ; Wilson, Charlie ; Liao, Jing ; Stankovic, Vladimir ; Hauxwell-Baldwin, Richard ; Murray, David ; Coleman, Mike. / Understanding domestic appliance use through their linkages to common activities. Paper presented at 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting, Lucerne, United Kingdom.14 p.
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Stankovic, L, Wilson, C, Liao, J, Stankovic, V, Hauxwell-Baldwin, R, Murray, D & Coleman, M 2015, 'Understanding domestic appliance use through their linkages to common activities' Paper presented at 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting, Lucerne, United Kingdom, 26/08/15 - 28/08/15, .

Understanding domestic appliance use through their linkages to common activities. / Stankovic, Lina; Wilson, Charlie; Liao, Jing; Stankovic, Vladimir; Hauxwell-Baldwin, Richard; Murray, David; Coleman, Mike.

2015. Paper presented at 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting, Lucerne, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Understanding domestic appliance use through their linkages to common activities

AU - Stankovic, Lina

AU - Wilson, Charlie

AU - Liao, Jing

AU - Stankovic, Vladimir

AU - Hauxwell-Baldwin, Richard

AU - Murray, David

AU - Coleman, Mike

PY - 2015/8/1

Y1 - 2015/8/1

N2 - Activities are a descriptive term for the common ways households spend their time. Examples include daily routines such as cooking, doing laundry, and Computing. Smart energy meter data can be used to generate time profiles of activities that are meaningful to households’ own lived experience. Activities are therefore a lens through which energy feedback to households can be made salient and understandable. This paper demonstrates how hourly time profiles of household activities can be inferred from smart energy meter data, supplemented by appliance monitors and environmental sensors. In-depth interviews and home surveys are used to identify appliances and devices used for a range of activities. These relationships between te chnologies and activities are captured in an ‘activity ontology’ that can be applied to smart meter data to make inferences on hourly time profiles of up to nine everyday activities. Results are presented from six homes participating in a UK trial of smart home technologies. The duration of activities and when they are carried out is examined within households. The time profile of domestic activities has routine characteristics but these tend to vary widely between households with different socio-demo graphic characteristics. Analysing the energy consumption associated with different activities leads to a useful means of providing activity-itemised energy feedback, and also reveals certain households to be high energy-using across a range of activities.

AB - Activities are a descriptive term for the common ways households spend their time. Examples include daily routines such as cooking, doing laundry, and Computing. Smart energy meter data can be used to generate time profiles of activities that are meaningful to households’ own lived experience. Activities are therefore a lens through which energy feedback to households can be made salient and understandable. This paper demonstrates how hourly time profiles of household activities can be inferred from smart energy meter data, supplemented by appliance monitors and environmental sensors. In-depth interviews and home surveys are used to identify appliances and devices used for a range of activities. These relationships between te chnologies and activities are captured in an ‘activity ontology’ that can be applied to smart meter data to make inferences on hourly time profiles of up to nine everyday activities. Results are presented from six homes participating in a UK trial of smart home technologies. The duration of activities and when they are carried out is examined within households. The time profile of domestic activities has routine characteristics but these tend to vary widely between households with different socio-demo graphic characteristics. Analysing the energy consumption associated with different activities leads to a useful means of providing activity-itemised energy feedback, and also reveals certain households to be high energy-using across a range of activities.

KW - smart energy meter

KW - smart energy control

KW - appliance monitors

KW - household energy use

UR - http://iet.jrc.ec.europa.eu/energyefficiency/sites/energyefficiency/files/events/EEDAL15/S16_Consumer-Behav-2/eedal15_submission_43.pdf

UR - http://iet.jrc.ec.europa.eu/energyefficiency/conference/eedal2015

M3 - Paper

ER -

Stankovic L, Wilson C, Liao J, Stankovic V, Hauxwell-Baldwin R, Murray D et al. Understanding domestic appliance use through their linkages to common activities. 2015. Paper presented at 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting, Lucerne, United Kingdom.