The research of the resident user classification based on the maximum entropy in the smart grid

In this paper, a novel approach was proposed for recognizing resident user type in the power consumption field, based ME some interesting features had been discussed. The probabilistic feature functions are used instead of binary feature functions, it is one of the several differences between this model and the most of the previous ME based model. We also explore several novel features in our model, which includes peak load power consumption rate (PCRP), load rate (LR), user cooperation degree (UCD) and so on. Unlike those in some previous works, the maximum entropy algorithm was used firstly in the power consumption field.