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Patent analysis of wind energy technology using the patent alert system

Paper ID Volume ID Publish Year Pages File Format Full-Text
38138 45650 2012 11 PDF Available
Title
Patent analysis of wind energy technology using the patent alert system
Abstract

Using publicly available information effectively is important to remain competitive in technology related industries. The main difficulty in this is determining how to use the information effectively and in a manner that will yield results that can be acted upon. Several different methodologies are being developed in the Technology Watch area of research including the Patent Alert System (PAS) by Dereli and Durmusoglu. By using two different variations of the Patent Alert System, 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.

► Patent analysis of wind energy technology. ► Patent Alert system (PAS) used and assessed. ► Linear regression based and fuzzy logic based PAS compared. ► Global events linked to trends found.

Keywords
Patent alert system; Linear regression; Fuzzy logic; Wind energy
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Patent analysis of wind energy technology using the patent alert system
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Publisher
Database: Elsevier - ScienceDirect
Journal: World Patent Information - Volume 34, Issue 1, March 2012, Pages 37–47
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us