With a roughly 50/50 split between presentations and practical exercises, the course covered the following areas:
- Introduction & history
- Data sets & preprocessing
- Event based & non-event based methods
- Data sets & accuracy metrics
- Disaggregation exercise using factorial hidden Markov models
I really feel that although many of the attendees started the course with little or no background in energy disaggregation, everyone left the course with a broad understanding and appreciation of the successes and limitations within the field. It was truly a pleasure to be invited by TM R&D and I hope they are able to invest their newly found knowledge in NIALM into practical solutions.
If you’re interested in a similar course for your company, please feel free to drop me an email.