检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:陈理 虎陈霞[2] 陈芳 陈玉峰 陈清泰 CHEN Li;HU Chen-xia;CHEN Fang;CHEN Yu-feng;CHEN Qing-tai(State Grid Zhejiang Haiyan County Power Supply Company,Jiaxing 314300,China;China Jiliang University,H angzhou 310018,China;Zhejiang Huayun Information and Technology Co.,Ltd.,Hangzhou 310000,China)
机构地区:[1]国网浙江海盐县供电有限公司,浙江嘉兴314300 [2]中国计量大学,杭州310018 [3]浙江华云信息科技有限公司,杭州310000
出 处:《电力需求侧管理》2018年第4期11-15,共5页Power Demand Side Management
摘 要:利用灰色关联分析法对浙江省1990—2015年电力消费量与产业结构关联度作了动态的定量分析,确定了不同时期浙江省电力消费量的主要影响因子及其与产业结构发展的关联度;对浙江省下辖11个地市2000—2015年电力消费量与产业结构关联度作了定量分析,确定了11个地市近15年以来电力消费量与产业结构的关联度,并进一步用聚类方法对11个地市进行了空间差异分析,结果表明:受地区经济发展水平和产业结构的影响,11个地市的电力消费量与产业结构的关联度有明显的空间差异。The article analyzed quantitative the dynamic changes of the correlation degree between electricity consumption and industrial structure from 1990 to 2015 in Zhejiang province by using the Grey Relational Analysis method. The main impact factors of electricity consumption in different periods and their correlation relationship with the industrial structure are determined. At the same time, based on the correlation degree between electricity consumption and industrial structure in 11 cities of Zhejiang Province from 2000 to 2015, the article explored the spatial variation of correlation degree between electricity consumption and industrial structure in Zhejiang Province by using the cluster analysis. The results show obvious spatial differences on correlation degree between the electricity consumption and industrial structure in the 11 cities, influenced by the development level of local economy and industry structure.
分 类 号:F407.61[经济管理—产业经济] TM714[电气工程—电力系统及自动化]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.98