DocumentCode :
3576724
Title :
Hybrid intelligent patent mapping for offshore wind industry analysis
Author :
Fan, C.Y. ; Chang, S.H. ; Fan, P.S. ; Kao, L.F.
Author_Institution :
Sci. & Technol. Policy Res. & Inf. Center, Nat. Appl. Res. Labs., Hsinchu, Taiwan
fYear :
2014
Firstpage :
1101
Lastpage :
1105
Abstract :
Offshore wind technology 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. This study examines numerous patent and use Intelligent clustering method try to identify appropriate patents by examining all-world patent pool cases of offshore wind power development, a form of alternative energy, and analyzing technology and patent maps. Thus, we identified a promising research direction, thereby enabling industry personnel to make technological breakthroughs in this field.
Keywords :
graph theory; offshore installations; patents; pattern clustering; wind power plants; alternative energy; energy technology; hybrid intelligent patent mapping; intelligent clustering method; offshore wind industry analysis; offshore wind power development; offshore wind technology; patent pool cases; patent portfolio; Australia; Europe; Generators; Global warming; Industries; Market research; Patents; Intelligent clustering; Offshore Wind; RPA (revealed patent advantage indices); SOM(Self-Organizing Map);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
Type :
conf
DOI :
10.1109/IEEM.2014.7058809
Filename :
7058809
Link To Document :
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