Application of Fuzzy Clustering Analysis in the Energy Systems Comparison

  • Xinke Ma
  • Xiaoliu Shen
  • Zhiyao Li
  • Qiangzhi Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 238)


In recent years, the issues of sustainable development of energy-economy-environment are causing concern to researchers and government officials. The development planning of energy systems is a hot topic. In the comparative analysis of energy systems, the commonly used method is the trend comparison of indicator data. This chapter compares the basic indicator data of energy systems of 11 provinces and cities in 2002 where the fuzzy clustering analysis is used. In this chapter, the equivalent matrix is gotten through using the transitive closure method, combining Boolean matrix method and F-statistics to find the best classification results. Referencing that year’s energy intensity index value from a macro level, the development proposals of energy systems can be given.



The work described in this chapter was supported by: (1) Beijing Natural Science Foundation (Project Number: 9122021), (2) Beijing Municipal Commission of Education (Project Name: Research of Beijing energy industry comprehensive risk management system model and decision support platform).


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Xinke Ma
    • 1
  • Xiaoliu Shen
    • 1
  • Zhiyao Li
    • 1
  • Qiangzhi Li
    • 1
  1. 1.School of Control and Computer EngineeringNorth China Electric Power UniversityBeijingChina

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