1 – List of Tasks from previous meeting:
· Post a research plan in blog.
· Plot user consumption hourly for some specific days.
· Plot average day on different users.
2 – Discussion:
I have done all the previous tasks. Each individual user has a different profile of energy usage in “average day”. We might guess the energy behaviour and user’s lifestyle based on looking on these graphs.
3 – List of next tasks (sorted in order of priority)
· Calculate and plot user consumption in “average day” again in week days and weekend days.
· Research on Google scholar for “event prediction Gaussian”, “predicting faults in machinery”, and predicting “network traffic” and post what you would have found.
· Try to find existing works in a different domain and translate those models to our situation, typically 2-3 existing models.
· Look and report on research where agents to keep calendars and agents to book rooms.
· Look for the existing infrastructure on Google calendar, ICS format.
· Prepare an email and a dataset (in .csv format) to send to Steve Reece about how to preceed with the prediction.
· Improve English (I have attended the Academic Writing English course (1 hour/week, in 6 weeks), however I found it would not help much in my situation. It showed some principle of how to make a good writing structure and talk a bit about everything. I think I might look for a paid tutor to improve this weakness).
· Look into frequency in term of user-generated events, the basis of power level, or the time it takes between two instant where power goes above x.
· Optional:
· Register course in probability
· Register online course in Machine Learning (web-seminar from Stanford University)
· Read paper: “A decision-Theoretic Approach to Cooperative Control and Adjustable Autonomy”
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