医院能耗影响因素分析及能耗基准评定方法研究OA

Objective This study aims to identify key factors influencing energy consumption in public tertiary hospitals in Shanghai and to develop a benchmark evaluation method applicable for these hospitals.Methods Data from 30 public tertiary hospitals in Shanghai were analyzed.Pearson correlation analysis was first conducted to identify key influencing factors.A weighted hybrid model integrating Multiple Linear Regression(MLR)and Support Vector Regression(SVR)was then constructed,with the identified factors as independent variables and total energy consumption as the dependent variable.Finally,10 general hospitals and 10 specialized hospitals were randomly selected for model validation,and the mean absolute error(MAE)was used to evaluate model accuracy.Results Hospital building area,number of employees,bed count,and outpatient and emergency visits were identified as the primary determinants of energy consumption in public tertiary hospitals in Shanghai.The MAE of the weighted hybrid model for energy consumption benchmark evaluation reached 850 tce(tons of coal equivalent),with prediction error rates ranging from-16.22%to 12.03%.Conclusions The benchmark evaluation method developed in this study demonstrates good predictive accuracy in assessing energy consumption levels in public tertiary hospitals in Shanghai.It provides a scientific basis and reference benchmark for energy-saving retrofitting and energy management.