4.7 Article

Comprehensive evaluation of national electric power development based on cloud model and entropy method and TOPSIS: A case study in 11 countries

期刊

JOURNAL OF CLEANER PRODUCTION
卷 277, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2020.123190

关键词

Electric power development; Cloud model; Entropy method; TOPSIS; Comprehensive evaluation

资金

  1. National Natural Science Foundation of China [71671065, 71840004]
  2. State Grid Nanjing Power Supply Company (Project: Research on collaborative innovation mechanism and construction effect evaluation of innovation and entrepreneurship park of electric power Internet of things) [J2020077]

向作者/读者索取更多资源

Electric power is the foundation of the development of national economy, it is necessary to make a comprehensive evaluation of its development. Firstly, 17 secondary electric power development evaluation indexes are established from four aspects: electricity supply, electricity consumption, electrification level and carbon emission. Secondly, based on the cloud model, the subjective evaluation and analysis of the primary evaluation index for the national electric power development are realized. Then, the entropy method is used to objectively evaluate and analyze the secondary evaluation index of national electric power development. And the objective evaluation value of the primary evaluation index for the national electric power development is obtained. Thirdly, the TOPSIS method is used to integrate the subjective evaluation value obtained by the cloud model and the objective evaluation value obtained by the entropy method to comprehensively evaluate the status of national electricity development. Next, by collecting the electric power development evaluation index data of 11 typical countries, the electric power development of 11 countries was evaluated and analyzed by using the CM-EM-TOPSIS method proposed in this paper. From the results of the comprehensive evaluation of China's electric power development, it is found that compared with other countries, the sensitivity of the queueing indicator value to the subjective evaluation weight is lower in China. Finally, according to the results of comprehensive evaluation and analysis of electric power development, the managerial implication is explored in China. (C) 2020 Elsevier Ltd. All rights reserved.

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