个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:日本埼玉大学
学位:博士
所在单位:能源与动力学院
学科:能源与环境工程
办公地点:大连理工大学西部校区能动大楼820室
联系方式:0411-84708095
电子邮箱:hailinmu@dlut.edu.cn
Forecasting the transport energy demand based on PLSR method in China
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论文类型:期刊论文
发表时间:2009-09-01
发表刊物:ENERGY
收录刊物:SCIE、EI、SSCI
卷号:34
期号:9
页面范围:1396-1400
ISSN号:0360-5442
关键字:Transport energy demand; China; PLSR
摘要:Transportation sector accounts for a major share of energy consumption in China, especially the petroleum products, which experienced rapid increases in energy demand. The purpose of this study is to forecast transport energy demand for 2010, 2015 and 2020 based on partial least square regression (PLSR) method under two scenarios. Transport energy demand is analyzed for the period of 1990-2006 based on gross domestic product (GDP), urbanization rate, passenger-turnover and freight-turnover. This method suggests that transport energy demand for 2020 will reach to a level of around 433.13 Mtce and 468.26 Mtce, respectively. Those figures are very close to the estimation obtained by Energy Research Institute of China. Thus this study provides an effective tool, which can be used as an alternative solution and estimation techniques for the transport energy demand. (C) 2009 Elsevier Ltd. All rights reserved.