| 基于大数据分析的县公司综合评价策略 |
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| 引用本文： | 薛振宇,胡航海,宋毅,吴志力,刘道新,冯昊,宋红芳.基于大数据分析的县公司综合评价策略[J].电力自动化设备,2017,37(9). |
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| 作者姓名： | 薛振宇 胡航海 宋毅 吴志力 刘道新 冯昊 宋红芳 |
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| 作者单位： | 国网北京经济技术研究院，北京 102209,国家电网公司，北京 100052,国网北京经济技术研究院，北京 102209,国网北京经济技术研究院，北京 102209,国家电网公司，北京 100052,国网浙江省电力公司，浙江 杭州 310007,国网浙江省电力公司，浙江 杭州 310007 |
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| 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。
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| 关 键 词： | 大数据分析 县公司 综合评价 指标体系 数据挖掘 |
Comprehensive evaluation based on big data analysis for county electric power company |
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| XUE Zhenyu,HU Hanghai,SONG Yi,WU Zhili,LIU Daoxin,FENG Hao and SONG Hongfang.Comprehensive evaluation based on big data analysis for county electric power company[J].Electric Power Automation Equipment,2017,37(9). |
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| Authors: | XUE Zhenyu HU Hanghai SONG Yi WU Zhili LIU Daoxin FENG Hao and SONG Hongfang |
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| Affiliation: | State Grid Power Economic Research Institute, Beijing 102209, China,State Grid Corporation of China, Beijing 100052, China,State Grid Power Economic Research Institute, Beijing 102209, China,State Grid Power Economic Research Institute, Beijing 102209, China,State Grid Corporation of China, Beijing 100052, China,State Grid Zhejiang Electric Power Company, Hangzhou 310007, China and State Grid Zhejiang Electric Power Company, Hangzhou 310007, China |
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| Abstract: | 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 1780 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. |
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| Keywords: | big data analysis county electric power company comprehensive evaluation index system data mining |
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