Open AccessManagement and development performance assessment for electric distribution company based on data mining
Author(s) -
Zeyuan Shen,
Zheng Wang,
Haibo Zhao,
Xiaojun Song
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8349
Subject(s) - delphi method , electric power , analytic hierarchy process , promotion (chess) , delphi , electric power industry , grid , service (business) , distribution management system , distribution (mathematics) , computer science , index (typography) , reliability (semiconductor) , business , operations research , power (physics) , electricity , engineering , marketing , artificial intelligence , electrical engineering , mathematics , law , mathematical analysis , world wide web , operating system , geometry , quantum mechanics , political science , physics , politics
In this study, the Statistical Product and Service Solutions software is applied to analyse the massive data of electric distribution companies. A comprehensive evaluation of grid development and production and operation of basic electric distribution companies is the key to a company's investment and development strategies. This study proposes a comprehensive evaluation index system for electric distribution companies. In the method, the weight of each index is calculated using the improved analytic hierarchy process based on the Delphi method. Then, according to the actual operation situation of each enterprise, the differential weight of various indices is constructed, and the comprehensive evaluation and score of differentiation for electric distribution companies are realised, which can be used for locating the weak line of the power grid of each enterprise and putting forward an investment strategy of the power grid. Through the demonstration application of 98 electric distribution companies in Shanxi Province of China, this method exhibits a promotion of value and accuracy in carrying out a comprehensive evaluation for electric distribution companies.