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.

Friday, 18 October 2024

Faculty Vacancy at Carnegie Mellon University

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Mario Bergès asked me to share the following position at CMU: Carnegie Mellon University's Department of Civil and Environmental Engin...
Friday, 2 September 2022

NILM 2022 deadline extended

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 A follow up message from the NILM 2022 workshop organisers: Dear NILM researcher/practitioner, The deadline for submitting to the 6th Inter...
Tuesday, 26 July 2022

The 6th International Workshop on Non-Intrusive Load Monitoring (NILM 2022) at BuildSys 2022

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An exciting message from the NILM 2022 organisers: Dear NILM researcher/practitioner, We cordially invite you to submit a paper to the 6th I...
Tuesday, 20 July 2021

DEDDIAG data set released

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Marc Wenninger, Andreas Maier & Jochen Schmidt have recently released DEDDIAG , a domestic electricity demand dataset of individual appl...
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...
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