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, 18 April 2016
PNNL User Group 2nd Meeting
PNNL organised the second meeting of their NILM User Group on 5th April 2016. The meeting featured a reminder of the priority use cases resulting from the first meeting of the user group, a discussion of whether PNNL's NILM evaluation should use data from real homes or lab homes, and also a presentation of PNNL's investigation into the desirability of a wide range of accuracy metrics. Notes from the meeting have been uploaded to the Conduit community, and the next meeting is scheduled to take place in the next few weeks in order to finalise the metrics for PNNL's study, as well as present the plan for data collection.
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