DocumentCode :
552849
Title :
Patent Alert System for wind turbine technology
Author :
Iskin, Ibrahim ; Li, Xin ; Zielsdorff, Casey ; Bayraktaroglu, Elvan
Author_Institution :
Portland State Univ., Portland, OR, USA
fYear :
2011
fDate :
July 31 2011-Aug. 4 2011
Firstpage :
1
Lastpage :
12
Abstract :
By using two different variations of the Patent Alert System (PAS), this paper will analyze two different technologies based on wind energy. These variations include Linear Regression based PAS and Fuzzy Logic based PAS. Each approach uses a different methodology to evaluate the available data and generate a trend that will be used to predict future values of patent counts in the applied area of technology. The results of these different approaches are compared in order to determine if either method produces more reliable results which would then lead to better decisions by the organization. In order to connect the results with real world events, trend changes will be evaluated against global events which should have an impact on technological development in this area.
Keywords :
fuzzy logic; patents; regression analysis; wind power plants; wind turbines; PAS; fuzzy logic; linear regression; patent alert system; wind energy; wind turbine technology; Educational institutions; Linear regression; Patents; Rotors; Wind energy; Wind power generation; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET '11:
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4577-1552-5
Electronic_ISBN :
978-1-890843-24-3
Type :
conf
Filename :
6017906
Link To Document :
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