Announcing EU NILM 2019

I am delighted to announce the dates for the 2019 European NILM Workshop! The workshop will take place on 1st-2nd October 2019 in Thessaloniki, Greece! Registration and the call for papers are now open. All information can be found at www.nilm.eu

IMPORTANT DATES:

• Early free ticket registration deadline: 31st May 2019
• General ticket sales begin: 1st June 2019 (€100 + VAT)
• Presentation abstract submission deadline: 1st August 2019
• Final registration deadline: 25th September 2019

NILM tutorial and special session at IEEE ICASSP

The International Conference on Acoustics, Speech, and Signal Processing will be held on 12-17 May 2019 in Brighton, UK, and will feature both a tutorial and special session focused on NILM.

Tutorial on Unlocking the potential of smart meter data via signal and information processing

The tutorial will be given by Vladimir Stankovic and Lina Stankovic in the afternoon of the 13th May, and will cover the following topics:

• Introduction to Smart Metering and Smart Meter Signals
• Energy disaggregation
• Signal and Information Processing for NILM
• Smart meter signal processing beyond NILM
• Conclusion and open problems

Special session on Advanced Signal Processing for Non-intrusive Load Monitoring

This special session has been organised by Stephen Makonin and Angshul Majumdar. Further details can be found on Stephen's blog.

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-focused event ever! The full agenda is available on the workshop website, although there might be a few minor changes in the run-up to the conference. There are a few tickets still available on EventBrite until the 26th September, so please register soon if you'd like to attend. We also have a few sponsorship options still available, so please get in touch via the Contact Us section at the bottom of www.nilm.eu if you're interested. See you in Duisburg :)

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, Germany. The aim of the European NILM conference series is to bring together all of the European researchers that are working on the topic of energy disaggregation in both industry and academia. See www.nilm.eu for full details. There are a limited number of tickets so please register as soon as possible.

Important dates:

• Early registration deadline: 1 September 2018 (free)
• Final registration deadline: 26 September 2018 (€100 + VAT)
• Call for speakers/demos deadline: 1 August 2018
• Agenda announcement: 15 August 2018
• Workshop dates: 1-2 October 2018

Call for presentations & demos

We invite attendees to submit presentation abstracts via this Google Form by 1 August 2018. We will aim to build a balanced agenda from a combination of invited talks and submitted abstracts, while the remaining submissions will be invited to present a lightning talk and a poster. Since the workshop will not feature published proceedings, we encourage relevant submissions which have previously appeared at other venues. We also welcome submissions from companies with results or data which they are willing to share with the community.

Call for sponsors

We have a number of sponsorship options for the workshop, including opportunities to give a full presentation, present a demo, and exposure on the website and slides. We need sponsorship in order to provide lunch, refreshments and an evening reception, so please get in touch via sponsors@nilm.eu if you’re interested!

We look forward to welcoming you in Duisburg!

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:

• An Experimental Comparison of Performance Metrics for Event Detection Algorithms in NILM
• Real-Time Itemized Electricity Consumption Intelligence for Military Bases
• Scalable Energy Breakdown Across Regions
• Pecan Street's Dataport
• Making Sense of UK smart meter data
• Poster Lightning Talks
• A Practical Discussion of Lessons Learned Deploying Disaggregation at Broad Scale
• An Emulator for NILM and Smart Home Research
• Panel Discussion on NILM Outlook & Next-Generation Applications
• On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction
• FactorNet for Energy Disaggregation
• Post-processing for Event-based Non-intrusive Load Monitoring
• Power Signature Obfuscation using Flexible Building Loads

Credit to Stephen Makonin for cutting up the videos and uploading them!

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 environment dataset of typical electrical appliances. The data set contains voltage and current readings for aggregated circuits and matching fully-labeled ground truth data (individual appliance measurements). The study covers 53 appliances (16 classes) in a 3-phase power grid in Germany. The authors have released two versions of the data set:

1. BLOND-50 contains 213 days of measurements sampled at 50 kHz (aggregate) and 6.4 kHz (individual appliances).
2. BLOND-250 consists of the same setup: 50 days, 250 kHz (aggregate), 50 kHz (individual appliances).

The data set is also described in more detail in the following publications:

• Kriechbaumer, T., & Jacobsen, H. A. (2018). BLOND, a building-level office environment dataset of typical electrical appliances. Scientific data, 5, 180048.

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, which lets you control your heating and hot water from your mobile, tablet or laptop. However, we also work closely with British Gas on their My Energy product, which provides customers with helpful insight into their energy consumption. We're looking for applicants with a scientific background (general machine learning knowledge), practical data analysis skills (ideally python stack), as well as experience in energy analytics (disaggregation would be a huge bonus!). The full job spec is available on the Centrica jobs portal, but if you're thinking of applying do drop me an email first :) We're aiming to fill the role in the next few weeks, so please apply soon if you're interested!