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, 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 ...
Monday, 11 November 2019

Towards reproducible state-of-the-art energy disaggregation

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This week Nipun Batra will present a paper which aims to improve the reproducibility of state-of-the-art NILM at BuildSys 2019 in New York...
Wednesday, 6 November 2019

New Slack channel for the NILM community

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Vicente Masip has set up a Slack channel  for researchers to discuss anything related to NILM. Slack features include: Organised discuss...
Friday, 25 October 2019

EU NILM 2019 Workshop Summary

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Earlier this month I attended the Sixth European Workshop on Non-intrusive Load Monitoring in sunny Thessaloniki, Greece, along with nea...
Wednesday, 10 July 2019

Call for presentations deadline approaching for NILM 2019

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The deadline for submitting presentation abstracts for NILM 2019 is now only 3 weeks away. As a reminder, the aim of this workshop is to br...
1 comment:
Friday, 5 April 2019

Announcing EU NILM 2019

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I am delighted to announce the dates for the 2019 European NILM Workshop! The workshop will take place on 1st-2nd October 2019 in Thessaloni...
2 comments:
Tuesday, 12 February 2019

NILM tutorial and special session at IEEE ICASSP

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The  International Conference on Acoustics, Speech, and Signal Processing will be held on 12-17 May 2019 in Brighton, UK, and will feature ...
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