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.
Wednesday 14 November 2012
Opening up the “black box” of the Home
Yesterday I attended a Smart Demand seminar titled 'Opening up the “black box” of the Home', organised by Pilgrim Beart, founder of AlertMe. The purpose of the seminar was to present a range of ideas related to smart metering in the UK, and to discuss what would need to be done in order to collect a data set that accurately describes domestic electricity consumption. The seminar was well attended by UK energy monitoring companies, such as Moixa and Onzo, but also represented views from academia. I particularly enjoyed Miroslav Hamouz's talk on the abilities and limitations of disaggregation, and completely agree that it is essential to understand what disaggregation can realistically achieve using actual smart meter data.
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Hi Oliver, your blog is really useful. I enjoyed reading it. Do you have recent publications to share with us?
ReplyDeleteHi Yanbo,
DeleteThanks, it's good to know you've found my blog useful. I'm afraid I don't have any recent publications to share yet, but I do have a few things under review so keep an eye on my blog in the near future. I promise you guys will be the first to know!
Oli
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