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.

Friday, 19 December 2014

infer-hmm: An Infer.NET implementation of the hidden Markov model

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The hidden Markov model is a popular statistical tool for modelling sequential data, and as such has  received much   attention from the f...
Tuesday, 25 November 2014

NILMTK Survey

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We've seen some really encouraging adoption of NILMTK  (our open-source toolkit for non-intrusive load monitoring) since we started work...
Monday, 24 November 2014

Energy disaggregation bloggers

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There's a great amount of blogging going on in the NILM research field, so this post aims to collect all these resources together in a s...
Tuesday, 11 November 2014

Work with ITG

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I've recently been doing some work with ITG , an IT and management consulting firm based in Washington DC, specialising in Real Estate I...
Friday, 7 November 2014

Energy disaggregation at BuildSys 2014

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I attended the BuildSys 2014 conference over the last two days, which was held on 5-6 November in Memphis, TN, USA. I was really impressed ...
Monday, 6 October 2014

List of NILM conferences

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This post aims to collect a number of NILM-specific workshops and conferences which have taken place over the past few years. As always, ple...
Friday, 5 September 2014

Post NILM 2014 @ London

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On Wednesday 3 September we held the NILM 2014 @ London meet up at Imperial College London. The aim of the meet up was to provide a local f...
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