Jiaming Dou1, Hongyan Ma1,2,3,*, Rong Guo1
Energy Engineering, Vol.119, No.6, pp. 2407-2429, 2022, DOI:10.32604/ee.2022.019654
Abstract With the exponential development of Chinese population, the massive energy consumption of buildings has recently become an interest subject. Although much research has been conducted on residential buildings, heating ventilation and air conditioning (HVAC), little research has been conducted on the relationship between student’s behavior, campus buildings, and their subsystems. Using classical seasonal decomposition, hierarchical clustering, and apriori algorithm, this paper aims to provide an empirical model for consumption data in campus library. Smart meter data from a library in Beijing, China, is adopted in this paper. Building electricity consumption patterns are investigated on an hourly/daily/monthly basis. According to the… More >
Login
Register
