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, 19 August 2016

Announcing EPRI EU NILM 2016

›
We’re pleased to announce that the European Workshop on Non-intrusive Load Monitoring will be held on the 17-18th October 2016 in London, UK...
Friday, 29 July 2016

PNNL to use data-driven protocol for NILM vendor evaluation

›
PNNL recently held their fourth NILM Protocol Development Advisory Group conference call, in which it was decided that they would use a dat...
Monday, 4 July 2016

NILM Wiki

›
The much discussed NILM wiki has finally emerged thanks to a great effort from Jack Kelly and the folks at Green Running . So far, the wik...
1 comment:
Thursday, 9 June 2016

Please help design a NILM competition!

›
Cross posted from Jack Kelly's blog : Has disaggregation accuracy improved since the 1980s? Which algorithms are most accurate for a g...
Thursday, 2 June 2016

PNNL NILM vendor survey

›
Below is a message to NILM vendors I'm sharing on behalf of PNNL: The Pacific Northwest National Laboratory (PNNL) continues its work ...
Saturday, 21 May 2016

NILM 2016 presentation videos and slides now available

›
Stephen Makonin has just uploaded the last of the videos to the NILM 2016 Youtube playlist , meaning that you can now easily watch individua...
Wednesday, 18 May 2016

5 things I learned from NILM 2016

›
The 3rd International Workshop on Non-Intrusive Load Monitoring was held on the 14-15 May 2016 at the beautiful mountaintop campus of Si...
1 comment:
‹
›
Home
View web version
Powered by Blogger.