My name is Oliver Parson, and I'm currently employed as a Senior Data Scientist at Bulb. I'm interested in investigating the ways in which machine learning can be used to break down household energy consumption data into individual appliances, also known as Non-intrusive Appliance Load Monitoring (NILM) or energy disaggregation.
Monday 17 December 2012
Improving the efficiency of home heating
My research group recently launched myJoulo, a project aimed at increasing awareness of how energy is being consumed in the home. The project gives away free temperature sensors, which collect data about how the temperature of your home varies relative to the temperature outside. It then asks you to upload the data, in order to provide personalised feedback detailing how you can reduce the price of your heating bill. The whole process is available for free to anyone living in the UK. For more details see the press release.
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I've just signed up! Looking forward to logging some data... (BTW, we have a wireless thermostat which we move from room to room. Should I move the myJoulo logger from room to room with the wireless thermostat?)
ReplyDeleteGood to hear! I don't really know what to say about the wireless thermostat. I guess you'll get the most out of it if the logger and thermostat stay together. The analyses might get a little confused though!
DeleteI am happy to hear this that you have created such intelligent machine which is able to remote the temperature oh house. I really liked your whole concept. I checked your press release even. It is very informative.
ReplyDeleteI'm glad you found the project interesting! I can't take credit for this work since it was completed by some other researchers in my group, but I hope to be involved in a similar project in the future. If you're interested, the ORCHID project has some similar work which is available here http://www.orchid.ac.uk/technology-genres/smart-grid/
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