Frequency of labels for all users

I attended a probability lecture today. This probability course would be supposed to cover a whole range of anything related to distribution. Hence, the material is useful, but it is hard to follow.

Back to FigureEnergy data analysis, I plotted the frequency of labels per day for all users. The result is showed in Figure 1.0 as follows:

Figure 1.0 Frequency of labels appearances per day for all Users

I think Poison process can help to estimate the labels in the future based on the frequency of the appearances of labels. The annotated events data in FE seems so much noise, therefore we need to define a method the automatically recognise the events.
In addition, I will try to implement Poison process on the energy consumption, where the energy usages can be divided into smallers segments of energy usage. By using Poison process, I hope it can tell the highest probability of particular segment of energy usage for the given time.