Analysis and demonstration of centralized heating energy consumption and its naive Bayesian model in northern cities and towns

Based on the heating energy consumption data of 5060 different scaled heat sources in typical provinces in Northern China, establishes an energy consumption intensity analysis model of urban scaled building centralized heating using naive Bayesian model. Based on the data published in the statistical yearbook, classifies the main statistical indicators of building centralized heating energy consumption in Northern China, and systematically analyses the balance formula, statistical range, data standard, effective year and data integrity of the data indicators. Comparing the results of two studies with the energy consumption intensity data of building centralized heating issued by Tsinghua University, suggests that the energy consumption intensity of urban building centralized heating obtained by naive Bayesian model analysis method be taken as the representative value of energy consumption intensity of heating.