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Analyzing Offshore Wind Power Patent Portfolios by Using Data Clustering
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 Title & Authors
Analyzing Offshore Wind Power Patent Portfolios by Using Data Clustering
Chang, Shu-Hao; Fan, Chin-Yuan;
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 Abstract
Offshore wind power has been extremely popular in recent years, and in the energy technology field, relevant research has been increasingly conducted. However, research regarding patent portfolios is still insufficient. The purpose of this research is to study the status of mainstream offshore wind power technology and patent portfolios and to investigate major assignees and countries to obtain a thorough understanding of the developmental trends of offshore wind power technology. The findings may be used by the government and industry for designing additional strategic development proposals. Data mining methods, such as multiple correspondence analyses and k-means clustering, were implemented to explore the competing technological and strategic-group relationships within the offshore wind power industry. The results indicate that the technological positions and patent portfolios of the countries and manufacturers are different. Additional technological development strategy recommendations were proposed for the offshore wind power industry.
 Keywords
Offshore Wind Power;Patent Portfolio;Assignee;Patent Analysis;Multiple Correspondence Analysis;k-means Clustering;
 Language
English
 Cited by
1.
A Function-Based Knowledge Base for Technology Intelligence,;;;;;;

Industrial Engineering and Management Systems, 2015. vol.14. 1, pp.73-87 crossref(new window)
1.
A Function-Based Knowledge Base for Technology Intelligence, Industrial Engineering and Management Systems, 2015, 14, 1, 73  crossref(new windwow)
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