Prediction and Testing Time
After removing the daylight savings time hour, it’s now time to use the BayesGLM model to predict which 2019 hours included EV charging. I won’t be able to exhaustively check since my 2019 doesn’t have either ‘Charging’ or ‘Car’ labels. My plan is to use the Sense charging datapoints plus “boundary datapoints” to do spot checking of my predictions. Here’s the same graph as earlier, but charting the BayesGLM predictions. You can see the clear “line” where the model predicts charging will begin.
The next chart is really an eye chart, but really highlights my simple detector’s predictions vs. Sense’s. The color scheme is the same as the earlier one in terms of Sense EV detections, and the shape indicates the prediction of my simple detector. Now I need to investigate points around the edges - in the red, green, and blue circles.
