• 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