End of week 4

This week I've been focussing on learning the basics of pattern recognition and machine learning. I've borrowed a copy of a text book and read the opening chapter, and Alex has ordered me a second copy so I can really get stuck in to it.

After our meeting last week, I had a closer look at what data Ploggs offer, the full details are in the previous post. I looked at energy readings vs power readings, and also at frequency of readings. Next week I'm going to look in to the data available from AlertMe meters and compare it with Plogg data.

I've been in contact with Mario Bergés, a researcher at Carnegie Mellon University who is working in a very similar field. He's got some very interesting papers in the pipeline, and has also kindly sent me a copy of his PhD thesis.

Towards the end of the week, I've been putting some more work into GridCarbon, an Android application to monitor and visualise the carbon internsity of the UK electricity grid. I've prepared and published the first version of this application to the Android Market, although v1.0 has suffered from layout bugs due to backwards compatibility issues. More specifically, the Android Market requires the application to specify a minimum API level. However, when this attribute is specified, the application's layout takes a hit.