- Generalise the fridge signature to ensure a high smoothness value if the series matches a previously recognised signature
- Assign values to peaks indicating likelihood that peak a result of the fridge's cycle
- Repeat process washing machine/dishwasher signature
- Finish AlertMe coding with Tassos
- Read up on aggregate pattern matching
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 21 February 2011
Weekly supervisor meeting
Following this week's meeting with my supervisors, my plan for this week is:
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