The Study of Patent Portfolio with Multiple Correspondence of Offshore Wind Power  

Oleh:

Chang, Shu-Hao ; Fan, Chin-Yuan

Jenis: Article from Proceeding
Dalam koleksi: The 14th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS), 3-6 December 2013 Cebu, Philippines, page 1-13.
Topik: Offshore wind power; patent portfolio; multiple correspondence analysis; k-means clustering
Fulltext: 1297.pdf (512.42KB)

Isi artikel

Offshore wind power is the most popular in recent years, the field of energy technology issues, was becoming increasingly relevant research. However, the research is still lack in the patent portfolio. The purpose of this research is to study the status of mainstream offshore wind power technology and patent portfolio, and investigates major assignees and countries to define a better understanding of the developmental trends of the offshore wind power technology. This can further provide the government and industry with additional strategic development proposals. We used data-mining methods [multiple correspondence analyses, and K-means clustering] to explore competing technological and strategic-group relationships within the offshore wind power industry. The results indicate that the technical positioning and patent portfolio between the countries and the manufacturers are different. We assessed the relative technological advantages position of various countries and manufacturers and proposed additional technology development strategy recommendations to the offshore wind power industry.

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