performed correlation analysis among household variables and energy consumption, and used a multivariate regression analysis to explore the overall effect of socio-economic and behavioral variables on residential energy consumption of conditioned space in China. The data was obtained from surveys applied to 642 households during winter and 838 household during summer in the city of Hangzhou.