As a university-affiliated unit, student dormitories have many characteristics, such as large total building area, high utilization rates, and large total energy consumption. Existing research focuses on the electricity consumption analysis of the entire dormitory buildings, but lacks detailed analysis and research on the electricity consumption of each room in the student dormitory. In this study, 533 female dormitories of a university in Shanghai were divided into four types of electricity preferences, and the air-conditioning habits of students in the dormitories were investigated, and the relevant parameters affecting the electricity consumption of the student dormitories were analyzed.Research finds that student dormitory electricity preference is related to the length of time in winter the air conditioner is used. On the other hand, the regression analysis model shows that the electricity consumption of the same type of student dormitory has a linear relationship with the outdoor temperature.The case results show that the students' electricity preference and the average outdoor temperature obtained through clustering and segmentation are important parameters that affect the electricity consumption of the student dormitory. The method of obtaining the regression of these two parameters can effectively grasp the electricity consumption of the student dormitory.