BuildSys 2015: My Disaggregation is Better Than Yours

Akshay presenting his paper on LocED

Last week I had the pleaure of chairing a session named 'My disaggregation is better than yours', at the 2015 BuildSys conference in Seoul. The session featured presentations of the following three papers:

• Multi-User Energy Consumption Monitoring and Anomaly Detection with Partial Context Information. Pandarasamy Arjunan (IIIT-Delhi), Harshad D Khadilkar (IBM Research), Tanuja Ganu (IBM Research), Zainul M Charbiwala (IBM Research), Amarjeet Singh (IIIT-Delhi), Pushpendra Singh (IIIT-Delhi)
• LocED: Location-aware Energy Disaggregation Framework. S.N. Akshay Uttama Nambi (TUDelft), Antonio Reyes Lua (TUDelft), R. Venkatesha Prasad (TUDelft)
• Neural NILM: Deep Neural Networks Applied to Energy Disaggregation. Jack Kelly (Imperial College London), William Knottenbelt (Imperial College London) [joint best presentation]

Even outside this session, there were a few other papers relevant to NILM, including the following papers:

• If You Measure It, Can You Improve It? Exploring The Value of Energy Disaggregation. Nipun Batra (IIIT-Delhi), Amarjeet Singh (IIIT-Delhi), Kamin Whitehouse (University of Virginia)
• Health Monitoring of Elderly Residents via Disaggregated Smart Meter Data and Log Gaussian Cox Processes. Jose Alcala (University of Alcala), Oliver Parson (University of Southampton), Alex Rogers (University of South Hampton)
• Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic. Sabina Tomkins (University of California Santa Cruz), Lise Getoor (University of California Santa Cruz)

To the best of my knowlege, this is the first conference with published proceedings with such a large amount of work related energy disaggregation. I'm glad that NILM is starting to find a common home at such a great venue, and I'm already looking forward to BuildSys 2016 at Stanford!