基于大数据分析的县公司综合评价策略  

Comprehensive evaluation based on big data analysis for county electric power company

作　　者：薛振宇[1] 胡航海[2] 宋毅[1] 吴志力[1] 刘道新[2] 冯昊[3] 宋红芳[3] 

机构地区：[1]国网北京经济技术研究院,北京102209 [2]国家电网公司,北京100052 [3]国网浙江省电力公司,浙江杭州310007

出　　处：《电力自动化设备》2017年第9期199-204,共6页Electric Power Automation Equipment

摘　　要：提出一种基于大数据分析的县公司综合评价策略。以1780家县公司数据为基础,建立考虑统计分析、决策树分析、数据包络分析等大数据技术的指标挖掘策略;通过信息挖掘构建一套适用于县公司综合评价的指标体系。以经济因素和企业因素为规则,建立基于县公司聚类的差异化权重计算方法,实现对县公司差异化发展内生和外生因素的联合判别,克服综合评价结果解释的单一化。通过浙江省的实证化应用,验证了所提策略的有效性和实用性。A strategy of comprehensive evaluation based on big data analysis is proposed for county electric power company. With the big data technologies,including statistical analysis,decision-tree analysis,data envelopment analysis,etc.,a strategy of index mining is developed based on the data of 1 780 county elec-tric power companies and a comprehensive evaluation index system for county electric power company is established by the information mining. With the economic and business factors as the rules,the country electric power companies are clustered and a method of differentiated weight calculation is derived to jointly identify the endogenous and exogenous factors of differentiated county company developments for avoiding the simplified explanation of comprehensive evaluation results. The application of the proposed strategy in Zhejiang Province verifies its effectiveness and feasibility.

关 键 词：大数据分析 县公司 综合评价 指标体系 数据挖掘 

分 类 号：TM761[电气工程—电力系统及自动化]