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.

Friday, 14 September 2018

Last chance to attend EU NILM 2018

The Fifth European NILM Workshop is just over 2 weeks away, and with over 150 registrants it already looks likely to be the largest NILM-foc...

Friday, 1 June 2018

Announcing EU NILM 2018

We’re pleased to announce that the Fifth European Workshop on Non-intrusive Load Monitoring will be held on the 1-2 October 2018 in Duisburg...

Wednesday, 9 May 2018

Presentation videos from NILM 2018 in Austin now available

I only recently noticed that videos from NILM 2018 in Austin are now available as a YouTube playlist . Here's a full list of the videos...

Tuesday, 1 May 2018

BLOND office environment data set released

Thomas Kriechbaumer & Hans-Arno Jacobsen of The Technical University of Munich (TUM) recently released BLOND - a building-level office ...

Monday, 23 April 2018

Hive is hiring a Data Scientist in energy analytics

We're looking for an experienced Data Scientist to join our team at Hive in London. Hive is best known for its Active Heating product,...

Thursday, 12 April 2018

NILMTK on CSR Tales

CSR Tales is blog devoted to documenting the stories behind research projects. They recently published a post written mostly by Nipun, cov...

Wednesday, 7 March 2018

Small Event with focus on Energy Informatics / NILM

Message from Christoph Klemenjak: Dear all, My name is Christoph Klemenjak and I am a PhD student working on the topic of load disaggreg...

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