Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Understanding domestic appliance use through their linkages to common activities

Stankovic, Lina and Wilson, Charlie and Liao, Jing and Stankovic, Vladimir and Hauxwell-Baldwin, Richard and Murray, David and Coleman, Mike (2015) Understanding domestic appliance use through their linkages to common activities. In: 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting, 2015-08-26 - 2015-08-28, Switzerland.

[img]
Preview
Text (Stankovic-etal-EEDAL-2015-Understanding-domestic-appliance-use-through-their-linkages)
Stankovic_etal_EEDAL_2015_Understanding_domestic_appliance_use_through_their_linkages.pdf - Accepted Author Manuscript

Download (6MB) | Preview

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.