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Analyzing Offshore Wind Power Patent Portfolios by Using Data Clustering
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  • Analyzing Offshore Wind Power Patent Portfolios by Using Data Clustering
  • Analyzing Offshore Wind Power Patent Portfolios by Using Data Clustering
저자명
Chang. Shu-Hao,Fan. Chin-Yuan
간행물명
Industrial engineering & management systems : an international journal
권/호정보
2014년|13권 1호|pp.107-115 (9 pages)
발행정보
대한산업공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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.