My name is Oliver Parson, and I'm currently employed as a Senior Data Scientist at Bulb. 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.
Monday, 11 November 2019
Towards reproducible state-of-the-art energy disaggregation
This week Nipun Batra will present a paper which aims to improve the reproducibility of state-of-the-art NILM at BuildSys 2019 in New York. The full paper is available online, which describes the new experiment and disaggregator APIs in NILMTK, along with a number of algorithms implemented in the nilmtk-contrib repository. The work will also be presented during the demo session to give NILM researchers some hands on experience using NILMTK's new disaggregation algorithms.
Wednesday, 6 November 2019
New Slack channel for the NILM community
Vicente Masip has set up a Slack channel for researchers to discuss anything related to NILM. Slack features include:
- Organised discussions: low f., highf.,home,industry,datasets
- Shared cloud resources at two clicks from your desktop.
- Polls
- Shared document editing
- Personalise each notification alert
- Repository of git repositories
- Chat (Faster than emails or forum)
- Space for NILM job candidates and recruiters
- Place to announce NILM papers publications, keynotes, workshops
The channel is open for anyone to join - please go ahead and introduce yourself! The invitation link is as follows:
https://join.slack.com/t/nilm/shared_invite/enQtODAzNTc0NTkwNjI2LTMzZmU1NzM3YTY1Y2RkODQzYjhiZjExYWE4MmUwZDJhZmZkMWI4NjFhMzU5YmM2MmFhMjNmMDY3MTY0MWQ0ZDA
and the channel URL is:
https://nilm.slack.com
https://join.slack.com/t/nilm/shared_invite/enQtODAzNTc0NTkwNjI2LTMzZmU1NzM3YTY1Y2RkODQzYjhiZjExYWE4MmUwZDJhZmZkMWI4NjFhMzU5YmM2MmFhMjNmMDY3MTY0MWQ0ZDA
and the channel URL is:
https://nilm.slack.com
Subscribe to:
Posts (Atom)