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以上海轨道交通运营统计数据为基础,分析城市轨道交通能耗结构。用相关性分析方法研究影响轨道交通能耗的重要因素。建立了城市轨道交通能耗系统的回归模型,并利用该模型对上海轨道交通5号线的能耗进行了预测。结果表明,该模型可以较准确地预测轨道交通的运营能耗,全年能耗预测误差在5%以内,为城市轨道交通能耗系统的建模与预测提供了一种新的方法。
Based on the statistics of Shanghai rail transit operation, the energy consumption structure of urban rail transit is analyzed. Using Correlation Analysis Method to Study the Important Factors Affecting the Energy Consumption of Rail Transit. The regression model of urban rail transit energy consumption system is established and the energy consumption of Shanghai Metro Line 5 is predicted by the model. The results show that the model can predict the operational energy consumption of rail transit more accurately and the forecast error of annual energy consumption is within 5%, which provides a new method for the modeling and forecasting of urban rail transit energy consumption system.