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Draft Neural NILM paper

My draft Neural NILM paper is available here, if you're interested (this is currently submitted to a conference)

Comments are very welcome!

About to go on holiday...

update the paper is now or arXiv : "Neural NILM: Deep neural networks applied to energy disaggregation" is now on arXiv

update 2: the code isn't available yet but I definitely plan to release it.

Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

At the NILM Workshop last Wednesday, I presented a poster on "Neural NILM: Deep Neural Networks Applied to Energy Disaggregation". It was a lot of fun discussing it with the participants! There's still a lot of work to do but this approach does work reasonably well right now. More details will come later...

Live stream of London NILM Workshop on Weds 8th July

It's almost time for the London NILM Workshop!

We'll be live streaming the event via a Google Hangout On Air. The stream will start at 10:00 BST (UTC+1), but do keep an eye on NILM_Workshop on Twitter for any new links if we encounter technical difficulties on the day!

Announcing the 2015 European NILM workshop

The Second European Workshop on Non-intrusive Load Monitoring will be held on 8th July 2015 at Imperial College London. More details on Oli's blog.

UK-DALE paper is now published in NPG's Scientific Data's journal

Nature Publishing Group has a new(ish) journal called Scientific Data. Today Scientific Data published our paper "The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes". And, a few days ago, our dataset received the first data DOI from the UK Energy Research Council's Energy Data Centre (UKERC EDC): DOI:10.5286/UKERC.EDC.000001.

Energy disaggregation online discussion forum

I've finally gotten round to putting together an online discussion forum for energy disaggregation! Feel free to join! Also, while we're finding our feet with this Google Group, please feel free to discuss the Google Group settings on the Energy Disaggregation forum.

Updated version of our UK-DALE dataset paper

Here's an updated version of our UK-DALE dataset paper. It will be on arXiv on Tuesday. Let me know if you spot any typos!

This new version adds 8 figures and a large table describing the dataset. And this update adds a fifth house and data from House 1 up to Jan 5th 2015 ;).

NILMTK Survey

We've seen some really encouraging adoption of NILMTK (our open-source toolkit for non-intrusive load monitoring) since we started work on it a year ago. However, it's quite hard to keep track of how people our using the toolkit, what features they'd like to see, and what direction the toolkit should be heading in. For this reason, we've created a NILMTK Survey, which will hopefully solve these problems. Please fill out the survey if you have any interest in energy disaggregation research, and let us know what's important to you. Thanks!

(this post was written by Oli Parson, and cross-posted from Oli's blog)

MSc project proposal: An online competition for comparing energy disaggregation algorithms

A sizeable challenge in the energy disaggregation community is that of comparing NILM algorithms from different researchers. In other words, if we have two papers, and one paper reports an accuracy of 80%, and another reports an accuracy of 85% then we cannot infer that the second paper is better because the authors used different datasets, different pre-processing etc. Hence we are working on a project proposal for the consideration of Imperial Computer Science MSc students. If a group of students selects the project then they'll work on it for the duration of next term. Here's the full, draft project specification. Comments most welcome!

NILMTK v0.2 wins best demo at BuildSys 2014; and demo is online

Oli Parson and Nipun Batra (my two awesome collaborators on the core of our open source energy disaggregation framework NILMTK) have just attended BuildSys 2014 in Memphis. Oli presented NILMTK v0.2 as a demo and it won best demo! Hurray! Well done Oli for doing an excellent presentation. The demo is an IPython notebook and is available to view online: NILMTK v0.2 BuildSys demo. Also, you can read more about energy disaggregation at BuildSys on Oli's blog.

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