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.

Wednesday, 19 March 2014

Visit to Telekom Malaysia R&D

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I’ve just returned from a visit to Telekom Malaysia Research & Development during which I delivered a 5 day course on non-intrusive appl...
Thursday, 13 February 2014

GridCarbon Android app v2 released

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I'm very happy to announce the release of an update to the GridCarbon Android app . The app allows you to track the carbon intensity of ...
Friday, 7 February 2014

NILM in the New Scientist

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A couple of weeks ago, Google acquired Nest , a smart thermostat manufacturer. The Nest thermostat aims to combine manually set temperature ...
Wednesday, 29 January 2014

NILM 2014: Second International Workshop on Non-intrusive Load Monitoring

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The  Second International Workshop on Non-intrusive Load Monitoring is being organised by  Mario Bergés and Zico Kolter  in partnership wi...
Thursday, 19 December 2013

Thesis defence complete!

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Earlier this week I had to defend my PhD thesis against the critique of both an internal and external examiner in what is referred to as a v...
Saturday, 14 December 2013

Energy disaggregation research at MLSUST 2013 workshop

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The 2013 workshop on Machine Learning for Sustainability was recently held at at the NIPS conference in Lake Tahoe, NV, USA. The workshop ...
Friday, 6 December 2013

Accuracy metrics for NIALM

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Accuracy metrics are essential when evaluating the performance of an energy disaggregation algorithm in a given scenario. However, each pape...
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