A novel evolution tree for analyzing the global energy consumption structure
Systematically organizing and analyzing the energy consumption structure of the world can reveal the organic connections between countries. Furthermore, such tasks can provide a global reference system for each country, enabling each one to adjust and optimize its energy consumption structure. Most...
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Veröffentlicht in: | Energy (Oxford) 2018-03, Vol.147, p.1177-1187 |
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creator | Hu, Yuan Peng, Ling Li, Xiang Yao, Xiaojing Lin, Hui Chi, Tianhe |
description | Systematically organizing and analyzing the energy consumption structure of the world can reveal the organic connections between countries. Furthermore, such tasks can provide a global reference system for each country, enabling each one to adjust and optimize its energy consumption structure. Most previous studies of the global energy consumption structure overlooked the associations between countries and the evolutionary trends associated with the energy consumption structures of countries. This paper analyzes the evolution of the global energy consumption structure using an evolution tree model. The visual structure of this model provides a novel perspective for understanding and analyzing the underlying trends. First, 144 countries and regions are categorized into four different types using the k-means clustering algorithm. Countries and regions that belong to the same type generally follow similar evolutionary paths. Moreover, type IV countries, which are mainly developed countries, have the most diverse energy consumption structures. By contrast, the energy consumption structures of other types of countries and regions can be improved. Countries can be located in the global energy consumption structure of the evolution tree, and these locations can provide a basis for improving the energy consumption structure of a country based on similar countries that are more diverse.
•The evolution tree is a visual tool to analyze the energy consumption structure.•The evolutionary trends in different countries are clearly presented in one figure.•The organic connections between countries can be revealed by the evolution tree. |
doi_str_mv | 10.1016/j.energy.2018.01.093 |
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•The evolution tree is a visual tool to analyze the energy consumption structure.•The evolutionary trends in different countries are clearly presented in one figure.•The organic connections between countries can be revealed by the evolution tree.</description><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Developed countries</subject><subject>Energy consumption</subject><subject>Energy consumption structure</subject><subject>Evolution</subject><subject>Evolution tree</subject><subject>Markov analysis</subject><subject>Markov chain</subject><subject>Reference systems</subject><subject>Trends</subject><subject>Vector quantization</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEtrwzAQhEVpoenjH_Qg6NmuZMl6XAoh9AWBXtqzkOV1auNYqSQH0l9fJ-65p2Xhm9mdQeiOkpwSKh66HAYIm0NeEKpyQnOi2RlaUCVZJqQqz9GCMEGykvPiEl3F2BFCSqX1Aq2XePB76DHsfT-m1g84BQDc-IDtYPvDTztscPoCvOl9ZSfudAk7P8RxuzsJYgqjS2OAG3TR2D7C7d-8Rp_PTx-r12z9_vK2Wq4zx0uWslJbyVhBdSW1KgrihKgbS6tCqKauKwXT6hjjsqFVxTXlTVVaLZ3k1kpb1-wa3c--u-C_R4jJdH4M07fRFESUpORCqIniM-WCjzFAY3ah3dpwMJSYY2-mM3Mac-zNEGqm3ibZ4yyDKcG-hWCia2FwULcBXDK1b_83-AUutnm5</recordid><startdate>20180315</startdate><enddate>20180315</enddate><creator>Hu, Yuan</creator><creator>Peng, Ling</creator><creator>Li, Xiang</creator><creator>Yao, Xiaojing</creator><creator>Lin, Hui</creator><creator>Chi, Tianhe</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>20180315</creationdate><title>A novel evolution tree for analyzing the global energy consumption structure</title><author>Hu, Yuan ; Peng, Ling ; Li, Xiang ; Yao, Xiaojing ; Lin, Hui ; Chi, Tianhe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-59a733219b798220c66dfa1b268fddb8e6dfc3347f1bb4914fb5a97c74aa7add3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Developed countries</topic><topic>Energy consumption</topic><topic>Energy consumption structure</topic><topic>Evolution</topic><topic>Evolution tree</topic><topic>Markov analysis</topic><topic>Markov chain</topic><topic>Reference systems</topic><topic>Trends</topic><topic>Vector quantization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Yuan</creatorcontrib><creatorcontrib>Peng, Ling</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Yao, Xiaojing</creatorcontrib><creatorcontrib>Lin, Hui</creatorcontrib><creatorcontrib>Chi, Tianhe</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Yuan</au><au>Peng, Ling</au><au>Li, Xiang</au><au>Yao, Xiaojing</au><au>Lin, Hui</au><au>Chi, Tianhe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel evolution tree for analyzing the global energy consumption structure</atitle><jtitle>Energy (Oxford)</jtitle><date>2018-03-15</date><risdate>2018</risdate><volume>147</volume><spage>1177</spage><epage>1187</epage><pages>1177-1187</pages><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>Systematically organizing and analyzing the energy consumption structure of the world can reveal the organic connections between countries. Furthermore, such tasks can provide a global reference system for each country, enabling each one to adjust and optimize its energy consumption structure. Most previous studies of the global energy consumption structure overlooked the associations between countries and the evolutionary trends associated with the energy consumption structures of countries. This paper analyzes the evolution of the global energy consumption structure using an evolution tree model. The visual structure of this model provides a novel perspective for understanding and analyzing the underlying trends. First, 144 countries and regions are categorized into four different types using the k-means clustering algorithm. Countries and regions that belong to the same type generally follow similar evolutionary paths. Moreover, type IV countries, which are mainly developed countries, have the most diverse energy consumption structures. By contrast, the energy consumption structures of other types of countries and regions can be improved. Countries can be located in the global energy consumption structure of the evolution tree, and these locations can provide a basis for improving the energy consumption structure of a country based on similar countries that are more diverse.
•The evolution tree is a visual tool to analyze the energy consumption structure.•The evolutionary trends in different countries are clearly presented in one figure.•The organic connections between countries can be revealed by the evolution tree.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2018.01.093</doi><tpages>11</tpages></addata></record> |
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subjects | Cluster analysis Clustering Developed countries Energy consumption Energy consumption structure Evolution Evolution tree Markov analysis Markov chain Reference systems Trends Vector quantization |
title | A novel evolution tree for analyzing the global energy consumption structure |
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