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.

Tuesday, 29 December 2015

3rd Int’l Workshop on NILM — SAVE THE DATE!

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The 3rd International Workshop on Non-Intrusive Load Monitoring (NILM) will be held in Vancouver, Canada from May 14 to 15, 2016. The ve...
Wednesday, 16 December 2015

REFIT Electrical Load Measurements dataset released

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The REFIT Electrical Load Measurements dataset is an output of the REFIT: Personalised Retrofit Decision Support Tools for UK Homes using S...
4 comments:
Tuesday, 15 December 2015

Kien Trung's PhD defence

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Last week I had the pleasure of being an examiner for Nguyen Kien Trung's PhD thesis at the Université Nice Sophia Antipolis. Kien's...
2 comments:
Tuesday, 1 December 2015

NILM @ GlobalSIP 2015

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The 3rd IEEE Global Conference on Signal and Information Processing will be held next month (14-16 December 2015) in Orlando, Florida. I wa...
4 comments:
Tuesday, 17 November 2015

Hangout On Air: NILMTK Algorithm Interface Discussion

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This Friday, we're planning to have a discussion around how best to integrate existing disaggregation algorithms into NILMTK via a Go...
Monday, 9 November 2015

BuildSys 2015: My Disaggregation is Better Than Yours

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Akshay presenting his paper on LocED Last week I had the pleaure of chairing a session named 'My disaggregation is better than your...
Monday, 21 September 2015

Energy disaggregation for health monitoring

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José and I have been working on a project to apply NILM methods to the health monitoring domain, specifically to help monitor the activity o...
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