The High Frequency Appliance Disaggregation Analysis (HFADA) project builds upon work undertaken in the Smart Systems and Heat (SSH) programme delivered by the Energy Systems Catapult for the ETI, to refine intelligence and gain detailed smart home energy data.
The project will analyse in depth data from five homes that have been trialing the SSH programme’s Home Energy Management System (HEMS) to identify which appliances are present within a building and when they are in operation. The main goal of the HFADA project is to detect human behaviour patterns in order to forecast the home energy needs of people in the future. In particular the project will deliver a detailed set of data mining algorithms to help identify patterns of building occupancy and energy use within domestic homes from water, gas and electricity data.
Bournemouth University and Baringa, working in partnership with ASI Data Science, will work independently of each other to provide information derived from the water, gas and electricity use in these UK homes, from the end of 2017 to middle of 2018.
“ETI’s research highlights that a Home Energy Management System should be a key component of a future smart energy system” said Rebecca Sweeney, ETI Smart Systems and Heat programme manager. “However, we are aware that most consumers are not ready or willing to engage with their energy system, and so product solutions need to be consumer focused if they are to be effective. HEMS is a key factor in our Smart Systems and Heat programme, ensuring that future attempts to change energy and heat consumption is more consumer focused. This analysis project, delivered by Bournemouth University and Baringa will provide industry with valuable insight into consumer energy use so that it can improve heating system performance built on a secure and flexible platform”.
Sweeney added that the two research parties will carry out further analysis and algorithm development over a six-month period of research during the winter and summer months. They will use data from five homes and the ETI anticipates that this research will provide a proof of concept for industry to develop the next generation of home energy management systems, for use in UK housing stock.
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