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.

Monday, 17 December 2012

Improving the efficiency of home heating

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My research group recently launched myJoulo , a project aimed at increasing awareness of how energy is being consumed in the home. The proje...
4 comments:
Friday, 14 December 2012

Video on unsupervised training methods for NIALM

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I recently created a video describing my recent work on unsupervised training methods for non-intrusive appliance load monitoring systems. ...
2 comments:
Wednesday, 12 December 2012

Popular Mechanics predicts NIALM to become reality in next 110 years

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A Popular Mechanics article recently compiled a list of technology predictions for the next 110 years. One of the forecasts sounded oddly f...
Thursday, 22 November 2012

New name, new domain

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I recently decided my blog could do with a little refreshing to more closely reflect its content. I've therefore changed its name to Dis...
Wednesday, 14 November 2012

Opening up the “black box” of the Home

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Yesterday I attended a Smart Demand seminar titled 'Opening up the “black box” of the Home', organised by Pilgrim Beart , founder of...
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Saturday, 27 October 2012

My home energy disaggregation system

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This post describes my home energy disaggregation system, using tools from AlertMe and PlotWatt. I've cross-posted it from its own page ...
3 comments:
Wednesday, 24 October 2012

Public NIALM Reference Library

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Today I decided to make my NIALM reference library public. Over the past few years I've collected about 150 references which I'd lik...
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