期刊文献+

基于回归模型的城市轨道交通能耗预测 被引量:16

Prediction of Urban Rail Transit Power Consumption Based on Regression Model
在线阅读 下载PDF
导出
摘要 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。 Power consumption structure of urban rail transit system is analyzed based on the statistics provided by Shanghai Metro Co.,Ltd. The main factors influencing power consumption of rail transit systems are studied through correlation analysis method.A regression model of urban rail transit system is established and used to predict the power consumption of Shanghai Metro Line 5.The results indicate that the annual power consumption can be predicted within an error of 5%.This paper proposes a new scheme for the modeling and prediction of urban rail transit system.
出处 《城市轨道交通研究》 北大核心 2010年第12期22-25,共4页 Urban Mass Transit
关键词 城市轨道交通 能耗预测 回归模型 urban rail transit power consumption prediction regression model
  • 相关文献

参考文献3

  • 1Albrecht T,Oettich S.A new integrated approach to dynamic schedule synchronization and energy-saving train control[C].//Computers in Railways.Eighth International Conference.Southampton,UK:WIT Press,2002:847.
  • 2Acikbas S,Soylemez M T.Coasting point optimisation for mass rail transit lines using artificial neural networks and genetic algorithms[J].IET Electric Power Applications,2008,2(3):172.
  • 3Dominquez M,Fernandez A,Cucala A P,et al.Computer-aided design of ATO speed commands according to energy consumption criteria[C].//WIT Transactions on the Built Environment,v 103,Computer System Design and Operation in the Railway and Other Transit Systems-Computers in Railways XI.Southampton,UK:WIT Press,2008:183.

同被引文献135

引证文献16

二级引证文献87

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部