Tune into the 2018 NILM Workshop live:
Monday 1st October – Tuesday 2nd October 2018
Fraunhofer-inHaus-Center, Duisburg, Germany
About the NILM Workshop
The EU NILM Workshop is now in its fifth year! The aim of this workshop is to bring together researchers that are working on the topic of energy disaggregation in both academia and industry. The workshop will feature two full days of conference-style material, following a similar format to the EPRI EU NILM 2017 conference. We hope to livestream the presentations via youtube, and also make videos of presentations available afterwards.
Please check out our “Call for Speakers & Demos” to find out what you can contribute!
Who should attend?
If you are an individual or an organisation interested in energy disaggregation then this is the workshop for you. The workshop is an open forum to encourage collaboration within the field and we welcome all levels of knowledge in this area, even if you are relatively new to NILM. In case you can’t join us in person, we also hope to live-stream the presentations via YouTube to allow for remote viewing. However, we do encourage you to attend so you benefit from the networking opportunities, which offer real value and the ability to meet fellow researchers in the industry.
What is NILM?
NILM stands for Non Intrusive Load Monitoring. This is the process which disaggregates your total energy consumption into the energy readings of an appliance over a period of time, allowing users to see how much power a particular appliance has used during that time.
Monday 1st October 2018
09:00 Registration & coffee
10:00 Welcome and introduction
– Oliver Parson – Workshop introduction
– Prof. Dr.-Ing. Holger Vogt – Welcome to Fraunhofer inHaus-Center
10:05 Opening keynote – TBC
10:30 Comfort break
11:00 Session 1: Innovative applications. Session chair: Oliver Parson
– Peter Davies (Green Running) – Disaggregation/Blockchain P2P Energy Trading
– Benoit Leprettre (International Electrotechnical Commission) – Ongoing standardization work on sensing devices for NILM
– Cristobal Lowery (Baringa Partners) – Predicting residential occupancy and hot water usage from high frequency, multi-vector utility data
12:00 Lunch break
13:30 Session 2: Vendor talks. Session chair: Peter Davies
– Stephen Galsworthy (Quby) – Toon energy waste checker: Appliance level diagnostics at scale
– Filip Milojkovic (Homepulse / EWUS) – NILM-as-a-service for heating systems: a business case
– Antoine Clais (Voltaware)
– Erol Can Ün (SmartB) – Learnings from Industrial NILM
15:20 Session 3: Data collection. Session chair: Nikolaus Starzacher
– Hader Aguiar Dias Azzini (University of Campinas) – A NILM Research and Development Project In Brazil
– Stephen Makonin (Simon Fraser University) – Data, Datasets, and Data Engineering
– Grant Fisher (Pecan Street) – Dataport
16:20 Lightning talks – Oliver Parson
16:30 Poster & demo session
18:00 Workshop group photo
Evening social event at Buergerhof
Tuesday 2nd October 2018
09:00 Coffee & networking
10:00 Session 3: Algorithms presentation session. Session chair: Timo Bernard
– Henning Lange (Carnegie Mellon University) – Overcoming the challenges of Variational Inference in the context of NILM
– Marina Dorokhova (EPFL PV-LAB) – Unsupervised algorithm for disaggregating low-sampling rate electricity consumption of households
11:00 Session 4: Deep learning in NILM. Session chair: Filip Milojkovic
– David Murray (University of Strathclyde) – Transferable low rate NILM using deep neural network architectures
– Shubham Bansal (Discovergy GmbH) – DeepNilm meets Bayes: Estimating uncertainty of deep learning models for non-intrusive load monitoring
– Patrick Huber (Lucerne University of Applied Sciences and Art, iHomeLab) – NILM @ Industry
12:00 Lunch break. Includes an optional guided tour through inHaus-Center.
13:30 Keynote Talk:
– Ulrich Greveler (Rhein-Waal University of Applied Sciences) – Consumers fear smart metering and load monitoring – who is to blame?
14:20 Session 5: Evaluating NILM algorithms presentation session. Session chair: Shubham Bansal
– Shamim Ahmed (Fludia) – Evaluation of ML algorithms on NILM using semi-synthetic training dataset
– Lucas Pereira (M-ITI/LARSYS and prsma.com) – SoCoL: Semi-automatic Collaborative Labelling for NILM datasets
15:30 Discussion session. Session chair: Nikolaus for the collaboration session, all organisers for plans for next year.
– Nikolaus Starzacher (Discovergy GmbH) – Developing the SuperMeter: Call for collaboration
– Open discussion
– Plans for next year
16:30 Workshop close
Please note: The agenda is subject to change.
Register your place
Monday 1st – Tuesday 2nd October 2018
9.00am – 5pm
A limited number of free tickets are available until 31st August on a first-come-first-served basis.
Travel & Accommodation
Düsseldorf Airport is the closest to the venue, and the closest train station is Duisburg Central Station. If you are flying into Düsseldorf airport, take the train to Duisburg Central Station. The following trains are available: S1 (takes 10 minutes), RE2, RE5 & RE6 (takes 25 minutes). You will then need to take a bus or taxi to the venue. Download our travel document to view all options.
There is parking for 20 cars at the venue and plenty of additional parking is available at the main university building 100 metres away. Local taxis are available. Uber does not operate in the area.
The venue has kindly recommended a list of hotels and accommodation options. Please download to view and contact them directly to book.
Centrica Hive Limited
Call for Sponsors
We have a number of sponsorship options for the workshop, including opportunities to give a full presentation, present a demo, exposure on the website and slides, and also to sponsor an evening reception. Please contact us for further information.
We would like to thank our sponsors for their support and enabling us to continue running the NILM Workshops.
Control. Comfort, convenience and cost savings. This is what smart energy products and services in a connected home can give our customers.
Discovergy aim to provide full transparency and control over energy consumption and production.