【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。更多还原

【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 6kinds 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 multistep 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.更多还原