Mendeley
TY  _  JOUR
ID  -  13940904142217554
TI  -  A New Method for Clustering Wind Speed Data in Wind Power Plants Using FCM and PSO Algorithms
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  Afrakhte H.
AU  -  Bostani Amlashi Y.
AD  -  دانشگاه گیلان
AD  -  دانشگاه گیلان
Y1  -  2010
PY  -  2010
VL  -  3
IS  -  
SP  -  210
EP  -  214
KW  -  Clustering
wind power plants
FCM
K-means
PSO
DO  -  
N2  -  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.
UR  - rimag.ir/en/Article/27989
L1  - rimag.ir/en/Article/Download/27989
ER  -  
