Disaggregated Homes

My name is Oliver Parson, and I'm currently employed as a Senior Data Scientist at Bulb. 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.

Sunday, 7 February 2021

NILM 2020 presentation videos available on Youtube

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The NILM 2020 conference was held online in November last year, and featured 26 presentations on recent progress in the field. The individua...
Wednesday, 18 November 2020

NILM 2020 livestream

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The NILM 2020 livestream has started: The full agenda can be found on the NILM website .
Thursday, 30 July 2020

NILM 2020 to be held online in November

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The NILM 2020 Workshop will be a one day online conference held during the week commencing 16 November 2020. The workshop will be jointly o...
Monday, 29 June 2020

DEBS 2020 NILM Grand Challenge

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The DEBS Grand Challenge is a series of competitions in which both academics and professionals compete with the goal of building faster and ...
Thursday, 4 June 2020

IDEAL Household Energy Dataset released

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The IDEAL Household Energy Dataset  was recently announced by researchers at the University of Edinburgh. The data set is under embargo unti...
Monday, 23 March 2020

George Hart's 1984 progress report: "Nonintrusive Appliance Load Data Acquisition Method"

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Stephen Makonin recently made George Hart's 1984 progress report available, titled " Nonintrusive Appliance Load Data Acquisition ...
Monday, 16 December 2019

From Hive to Bulb

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Last month I said a slightly sad farewell to many great friends as I left  Hive . The smart home and internet of things fields present some ...
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