Energy Consumption Forecast Model of Urban Residential Buildings in Hainan

To study energy consumption influencing factors of urban residential building in Hainan, on the basis of questionnaires which inquire the actual energy consumption of the target residents, and by means of correlation analysis and multiple regression analysis through SPSS software, an empirical study shows that the resident population, per capita building area, the sum number of air-conditioner and computer and the air conditioning cooling method have impacts on energy consumption of influencing factors the multiple linear regression model was drown. The fitting effect was tested with calendar year lystatistics of actual energy consumption; the results show that the model has high accuracy, and energy saving strategies of residential building are given out according to the forecast model.