DETERMINATION OF CONGESTION ZONES IN DEREGULATED ELECTRICITY MARKETS USING FUZZY CLUSTERING
暂无分享,去创建一个
Miin-Shen Yang | Kuo-Lung Wu | Ying-Yi Hong | Chung Li | Miin-Shen Yang | Kuo-Lung Wu | Ying-Yi Hong | Chung Li
[1] J. Bezdek. Cluster Validity with Fuzzy Sets , 1973 .
[2] J. C. Dunn,et al. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .
[3] J. Bezdek,et al. FCM: The fuzzy c-means clustering algorithm , 1984 .
[4] A. Vojdani,et al. Transmission dispatch and congestion management in the emerging energy market structures , 1998 .
[5] A. Papalexopoulos,et al. Transmission congestion management in competitive electricity markets , 1998 .
[6] S. M. Shahidehpour,et al. Fixed transmission rights for zonal congestion management , 1999 .
[7] A. David,et al. Transmission congestion management in an electricity market , 1999 .
[8] Ying-Yi Hong,et al. Investigation of nodal prices in a deregulated competitive market-case studies , 1999, PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376).
[9] Mesut Baran,et al. Equitable allocation of congestion relief cost to transactions , 2000 .
[10] James C. Bezdek,et al. Generalized fuzzy c-means clustering strategies using Lp norm distances , 2000, IEEE Trans. Fuzzy Syst..
[11] Jian Fu,et al. A combined framework for service identification and congestion management , 2001 .
[12] Miin-Shen Yang,et al. A new validity index for fuzzy clustering , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).