Moreover, as shown in Fig. 5, the actual energy consumption is slightly higher than the simulation results in April and May and lower in June and July. This deviation could be explained by the changes of the schedule and occupancy rate in the building.The schedule input data for the simulation is set according to the common data listed in the software template [24]. However, in a university residential building, the actual schedule has a significant difference in April and the beginning of May. Due to the final exams and the extra activities by the end of the semester (April), the lighting energy consumptions, the plug and process loads increase significantly. In June and July, the building occupancy and activities decrease substantially due to the summer break. In addition,the actual lighting energy consumptions, and the plug and process loads also decrease simultaneously.