Disaggregated Homes

My name is Oliver Parson, and I'm currently employed as a Product Data Science Lead at Octopus. 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.

Thursday, 9 June 2016

Please help design a NILM competition!

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Cross posted from Jack Kelly's blog : Has disaggregation accuracy improved since the 1980s? Which algorithms are most accurate for a g...
Thursday, 2 June 2016

PNNL NILM vendor survey

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Below is a message to NILM vendors I'm sharing on behalf of PNNL: The Pacific Northwest National Laboratory (PNNL) continues its work ...
Saturday, 21 May 2016

NILM 2016 presentation videos and slides now available

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Stephen Makonin has just uploaded the last of the videos to the NILM 2016 Youtube playlist , meaning that you can now easily watch individua...
Wednesday, 18 May 2016

5 things I learned from NILM 2016

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The 3rd International Workshop on Non-Intrusive Load Monitoring was held on the 14-15 May 2016 at the beautiful mountaintop campus of Si...
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Sunday, 15 May 2016

Watch NILM 2016 Day 2 Livestream

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The stream for day 2 of NILM 2016 is now live: https://www.youtube.com/watch?v=KlqkP3EVXUY I'll try to add links to the videos of ea...
Friday, 13 May 2016

NILM 2016 Livestream

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Update 08:46 14.05.2016: new youtube link Update 09:06 14.05.2016: new youtube link The 3rd International Workshop on Non-Intrusiv...
Friday, 6 May 2016

Data Management guest lecture

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Yesterday I gave a guest lecture on  Gopal Ramchurn 's Data Management course at the University of Southampton. It was great fun exposi...
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