Meeting notes on 18/11/2011 (Revised version)

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.

·         Plot frequency (on all labels) per day. Look further into the idea of detect the peak usage, from different thresholds.

·         Look further into detect events, based on peaks. Check the different signal, where y(t) = x(t) – x(t-1), where 1 is a time unit (currently time unit is 2 mins in FigureEnergy). Check to see if “low pass frequency” can apply anywhere in this part. Be aware of two types of statistics: user annotation, and peaks (e.g., washing machine has 2 peaks).

·         Research on Google scholar for “event prediction Gaussian”, predicting faults in machinery, and predicting “network traffic” and post what you would have found.

·         Look at “Poison process” in the wiki, check the relevant papers.

·         Read and summarise 1-2 papers weekly.

·         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. (probably from http://teamcore.usc.edu/)

·         Prepare an email to ask agent’s research fellow (Sid, Rama, Greg) to ask about their suggestion on the relevant mathematical model that I should use.

·         Prepare an email and a dataset (in .csv format) to send to Steve Reece about how to proceed 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, but it is not enough for me. I think I might look for a paid tutor to improve this weakness. At the time being, I will try to revise my blog and might get someone to check the writing. I might need to read at Oli’s blog to learn the informal writing style as well).

·         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”