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Cites:

Information Journal Paper

Title

A NEW METHOD FOR CLUSTERING WIND SPEED DATA IN WIND POWER PLANTS USING FCM AND PSO ALGORITHMS

Pages

  210-214

Abstract

 Fuzzy CLUSTERING Method (FCM) is a commonly used method of data CLUSTERING. But, when too much data are available, the use of this method usually may lead to non-homogeneous distribution of data. In this paper a new method for CLUSTERING of wind speed data in wind farms is presented. In this method, using the PSO algorithm, wind speed data is clustered and the obtained results are compared with those of FCM and K-MEANS CLUSTERING methods. Simulation results indicate the proposed method has better convergence than K-MEANS and FCM methods, especially in conditions which too much data are not available.

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  • Cite

    APA: Copy

    AFRAKHTEH, H., & BOSTANI AMLASHI, Y.. (2010). A NEW METHOD FOR CLUSTERING WIND SPEED DATA IN WIND POWER PLANTS USING FCM AND PSO ALGORITHMS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 8(3), 210-214. SID. https://sid.ir/paper/53745/en

    Vancouver: Copy

    AFRAKHTEH H., BOSTANI AMLASHI Y.. A NEW METHOD FOR CLUSTERING WIND SPEED DATA IN WIND POWER PLANTS USING FCM AND PSO ALGORITHMS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2010;8(3):210-214. Available from: https://sid.ir/paper/53745/en

    IEEE: Copy

    H. AFRAKHTEH, and Y. BOSTANI AMLASHI, “A NEW METHOD FOR CLUSTERING WIND SPEED DATA IN WIND POWER PLANTS USING FCM AND PSO ALGORITHMS,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 8, no. 3, pp. 210–214, 2010, [Online]. Available: https://sid.ir/paper/53745/en

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