Abstract
| Language | English |
|---|---|
| Title of host publication | Procededings of the 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting |
| Subtitle of host publication | EEDAL’15 |
| Number of pages | 15 |
| Publication status | Published - Aug 2015 |
| Event | 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting - Switzerland, Lucerne, United Kingdom Duration: 26 Aug 2015 → 28 Aug 2015 |
Conference
| Conference | 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting |
|---|---|
| Abbreviated title | EEDAL'15 |
| Country | United Kingdom |
| City | Lucerne |
| Period | 26/08/15 → 28/08/15 |
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Keywords
- smart homes
- real-time energy
- smart energy meter
- energy consumption
Cite this
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A data management platform for personalised real-time energy feedback. / Murray, David; Liao, Jing; Stankovic, Lina; Stankovic, Vladimir; Hauxwell-Baldwin, Richard; Wilson, Charlie; Coleman, Michael; Kane, Tom; Firth, Steven.
Procededings of the 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting: EEDAL’15. 2015.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - A data management platform for personalised real-time energy feedback
AU - Murray, David
AU - Liao, Jing
AU - Stankovic, Lina
AU - Stankovic, Vladimir
AU - Hauxwell-Baldwin, Richard
AU - Wilson, Charlie
AU - Coleman, Michael
AU - Kane, Tom
AU - Firth, Steven
PY - 2015/8
Y1 - 2015/8
N2 - This paper presents a data collection and energy fe edback platform for smart homes to enhance the value of information given by smart energy meter da ta by providing user-tailored real-time energy consumption feedback and advice that can be easily accessed and acted upon by the household. Our data management platform consists of an SQL server back-end which collects data, namely, aggregate power consumption as well as consumption of major appliances, temperature, humidity, light, and motion data. These data streams allow us to infer information about the household’s appliance usage and domestic activities, which in t urn enables meaningful and useful energy feedback. The platform developed has been rolled ou t in 20 UK households over a period of just over 21 months. As well as the data streams mentioned, q ualitative data such as appliance survey, tariff, house construction type and occupancy information a re also included. The paper presents a review of publically available smart home datasets and a desc ription of our own smart home set up and monitoring platform. We then provide examples of th e types of feedback that can be generated, looking at the suitability of electricity tariffs a nd appliance specific feedback.
AB - This paper presents a data collection and energy fe edback platform for smart homes to enhance the value of information given by smart energy meter da ta by providing user-tailored real-time energy consumption feedback and advice that can be easily accessed and acted upon by the household. Our data management platform consists of an SQL server back-end which collects data, namely, aggregate power consumption as well as consumption of major appliances, temperature, humidity, light, and motion data. These data streams allow us to infer information about the household’s appliance usage and domestic activities, which in t urn enables meaningful and useful energy feedback. The platform developed has been rolled ou t in 20 UK households over a period of just over 21 months. As well as the data streams mentioned, q ualitative data such as appliance survey, tariff, house construction type and occupancy information a re also included. The paper presents a review of publically available smart home datasets and a desc ription of our own smart home set up and monitoring platform. We then provide examples of th e types of feedback that can be generated, looking at the suitability of electricity tariffs a nd appliance specific feedback.
KW - smart homes
KW - real-time energy
KW - smart energy meter
KW - energy consumption
UR - http://iet.jrc.ec.europa.eu/energyefficiency/conference/eedal2015
M3 - Conference contribution book
BT - Procededings of the 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting
ER -