Murray, David and Liao, Jing and Stankovic, Lina and Stankovic, Vladimir and Hauxwell-Baldwin, Richard and Wilson, Charlie and Coleman, Michael and Kane, Tom and Firth, Steven (2015) A data management platform for personalised real-time energy feedback. In: Procededings of the 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting. IET.
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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.
|Item type:||Book Section|
|Keywords:||smart homes, real-time energy, smart energy meter, energy consumption, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||11 Dec 2015 04:28|
|Last modified:||02 Apr 2017 07:45|