Today I've been looking at some real data collected over a 4 day period from Alex's home. A large proportion of my time has been spent getting used to matlab, but I'm getting there slowly. I extracted changes greater than 100W in his overall power demand over the period. However, this is a 1-dimensional feature vector and does not make a very interesting plot, so I've plotted it against the time of day at which it occurred. The plot is below.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjrrvAUde8dCqzf4nykgo8gAamox_MySz2dolc4yPVg2dAa7XX3DodzOFEoX02N_8MXAVuX-KTWh-evarjWtQFVy0AUhUWnDSiCWME6fMQPPmXqCw18pJZ454jGn6ilooiaPblpeo2HAWmj/s400/power+jumps+against+time+of+day.png)
Any points that sit on a horizontal line are power jumps of the same value, and are therefore likely to be the same appliance. A few of these lines are visible over this small data set which is encouraging. The clearest of which is near the bottom left corner.
In addition, there's a clear cluster just to the right of the centre of the graph. This shows that time of day is a more useful feature vector for some appliances than others.
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