摘要
对现有城市轨道交通列车牵引能耗影响因素研究进行梳理和总结,得到了较为全面的指标体系,并以日常运营中的可变因素作为变量进行牵引能耗的物理建模,在此基础上建立了多元线性回归统计模型。以北京轨道交通2号线运营数据为基础,进行牵引能耗统计回归。研究结果表明,该模型对牵引能耗实际数据拟合程度高,对变量解释能力强,对未来预测能力佳。
We collect and generalize the factors impacting urban rail transit traction energy consumption. We further get a more comprehensive factor system. We also establish a physical model of traction energy consumption with daily variable factors as varibles. We further establish a multiple linear regression statistical model. The model is applied to the prediction of traction energy consumption of Beijing Metro Line 2. Results indicate that the model can predict traction energy consumption with higher accuracy. The model also has good explanation and prediction capability.
出处
《山东科学》
CAS
2012年第3期7-11,共5页
Shandong Science
基金
国家自然科学基金(70801002
71071011)
国家973重大基础研究计划项目(2012CB725401)
中央高校基本科研业务费专项资金资助(YWF-10-01-A26)
关键词
城市轨道交通
多元回归
牵引能耗
urban rail transit
multiple linear regression
traction energy consumption