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城市人均综合能耗分类评估研究
引用本文:宋国君,国潇丹,方国斌.城市人均综合能耗分类评估研究[J].环境污染与防治,2019,41(1):124-128.
作者姓名:宋国君  国潇丹  方国斌
作者单位:中国人民大学环境学院,北京,100872;安徽财经大学统计与应用数学学院,安徽 蚌埠,233030
基金项目:教育部人文社会科学研究项目
摘    要:提出了使用影响城市人均综合能耗的客观因素对城市进行分类评估的新方法,以解决城市间能效可比性及能效目标针对性的问题。运用单因素多阶段分类法及AdaBoost算法将全国地级以上城市分为采暖-高产值、采暖-低产值、非采暖-高工业-高产值、非采暖-高工业-低产值、非采暖-低工业-高产值、非采暖-低工业-低产值6类。2005—2015年,人均综合能耗全国平均值呈逐年稳中有升趋势,其中"采暖-高产值"城市人均综合能耗水平高、增长快,"非采暖-低工业-低产值"城市人均综合能耗始终居6类城市中最低水平。

关 键 词:城市能效管理  人均综合能耗  ADABOOST算法

Study on the classification evaluation of city per capita total energy consumption
SONG Guojun,GUO Xiaodan,FANG Guobin.Study on the classification evaluation of city per capita total energy consumption[J].Environmental Pollution & Control,2019,41(1):124-128.
Authors:SONG Guojun  GUO Xiaodan  FANG Guobin
Institution:(School of Environment,Renmin University of China,Beijing 100872;Institute of Statistics and Applied Mathematics,Anhui University of Finance&Economics,Bengbu Anhui 233030)
Abstract:A new classification evaluation method of city per total energy consumption was proposed based on objective factors,in order to solve the area comparability and pertinence.The prefecture level above cities of China was divided into 6 kinds of“heating-high per capita GDP”,“heating-low per capita GDP”,“non-heating-developed industry-high per capita GDP”,“non-heating-developed industry-low per capita GDP”,“non-heating-undeveloped industry-high per capita GDP”and“non-heating-undeveloped industry-low per capita GDP”using single multi-step classification and AdaBoost algorithm.During 2005-2015,the average per capita total energy consumption in China increased gradually.The per capita total energy consumption of the cities with heating-high per capita GDP was the highest and increased fastest while the cities with non-heating-undeveloped industry-low per capita GDP always ranked the last.
Keywords:city energy efficiency management  per capita total energy consumption  AdaBoost algorithm
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