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.

Saturday, 9 May 2015

What even is supervised/unsupervised disaggregation?

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I've noticed a fair amount of disagreement regarding exactly what type of learning is being used by a specific energy disaggregation met...
2 comments:
Friday, 10 April 2015

Announcing the 2015 European NILM workshop

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I'm really excited to announce that the Second European Workshop on Non-intrusive Load Monitoring will be held on 8th July 2015 at Impe...
Tuesday, 31 March 2015

EEme release disaggregation accuracy calculated by Pecan Street

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I recently came across EEme , a spin-out from Carnegie Mellon University, who apply energy disaggregation to 15-minute smart meter data to p...
Wednesday, 25 March 2015

Overview of the NILM field

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This post aims to use trends in recent publications to provide an overview of the field of non-intrusive load monitoring / energy disaggrega...
5 comments:
Sunday, 1 March 2015

GridCarbon app updated to Android 5

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Yesterday I pushed v2.1 of the GridCarbon app to the Google Play store. GridCarbon is an Android and iOS app that lets you track the carbo...
1 comment:
Monday, 23 February 2015

Collaboration with José Alcalá on using NILM for health monitoring

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José has recently been visiting our lab in Southampton as part his PhD programme at the University of Alcalá. He's interested in how ene...
Friday, 13 February 2015

British Gas to acquire AlertMe

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Today, both British Gas and AlertMe pushed out press releases announcing the acquisition of AlertMe by British Gas, for an estimated total...
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