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Comprehensive evaluation of regional clean energy development levels based on principal component analysis and rough set theory

Yongxiu He, Yuexia Pang, Qi Zhang, Zhe Jiao and Qian Chen

Renewable Energy, 2018, vol. 122, issue C, 643-653

Abstract: After the strategic concept of global energy Internet constructed, it has produced a strong response in the world. In recent years, countries around the world are actively promoting energy transformation and have developed clean energy development goals and plans. This paper constructs a comprehensive evaluation index system for the level of clean energy development by considering policies and regulations, energy supply, environmental impact, energy consumption, technology, economy and so on. At the same time, China, Germany, the United States and other countries are selected as evaluation objects. On the basis of searching, processing and analyzing a large number of data, firstly, the research uses the principal component analysis method to carry out the correlation cluster analysis of the index and then uses the rough set method to assign the weight of the extracted principal components. Finally, the weight of each index in the index system is calculated. The results of the comprehensive evaluation of each country are compared and analyzed, which shows that the weight determination method based on rough set theory and principal component analysis is more reasonable and objective. At the end of the paper, some suggestions are proposed to promote the development of clean energy.

Keywords: Regional clean energy development level; Index system; Principal component analysis; Rough set theory (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:122:y:2018:i:c:p:643-653

DOI: 10.1016/j.renene.2018.02.028

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