李培强,李欣然,陈辉华,等．基于模糊聚类的电力负荷特性的分类与综合[J]．中国电机工程学报,2005,25(24)：73-78． Li Peiqiang,Li Xinran,Chen Huihua,et al．The characteristics classification and synthesis of power load based on fuzzy clustering[J]．Proceedings of the CSEE,2005,25(24)：73-78(in Chinese)．
[2]
Prahastono I,King D J,Ozveren C S,et al．Electricity load profile classification using fuzzy C-means method[C]// 43rd International Universities Power Engineering Conference．Padova：IEEE,2008：1-5．
[3]
吴星,刘天琪,李兴源,等．基于WAMS/SCADA数据兼容和改进FCM聚类算法的PMU最优配置[J]．电网技术,2014,38(3)：756-761． Wu Xing,Liu Tianqi,Li Xingyuan,et al．Optimal configuration of PMU based on data compatibility of WAMS/SCADA and improved FCM clustering algorithm[J]．Power System Technology,2014,38(3)：756-761(in Chinese)．
[4]
吴旭,张建华,赵天阳,等．基于模糊聚类和模糊推理的电网连锁故障预警方法[J]．电网技术,2013,37(6)：1659-1665． Wu Xu,Zhang Jianhua,Zhao Tianyang,et al．A forewarning method of cascading failure in power grid based on fuzzy clustering and fuzzy inference[J]．Power System Technology,2013,37(6)：1659-1665(in Chinese)．
[5]
周湶,孙威,任海军,等．基于最小二乘支持向量机和负荷密度指标法的配电网空间负荷预测[J]．电网技术,2011,35(1)：66-71． Zhou Quan,Sun Wei,Ren Haijun,et al．Spatial load forecasting of distribution network based on least squares support vector machine and load density index system[J]．Power System Technology,2011,35(1)：66-71(in Chinese)．
[6]
杨浩,张磊,何潜,等．基于自适应模糊C均值算法的电力负荷分类研究[J]．电力系统保护与控制,2010,38(16)：111-115． Yang Hao,Zhang Lei,He Qian,et al．Study of power load classification based on adaptive fuzzy C means[J]．Power System Protection and Control,2010,38(16)：111-115(in Chinese)．
[7]
刘丽轻．电力用户负荷模式识别系统研究与设计[D]．保定：华北电力大学,2012．
[8]
曾博,张建华,丁蓝,等．改进自适应模糊C均值算法在负荷特性分类的应用[J]．电力系统自动化,2011,35(12)：42-46． Zeng Bo,Zhang Jianhua,Ding Lan,et al．An improved adaptive fuzzy C-means algorithm for load characteristics classification[J]．Automation of Electric Power Systems,2011,35(12)：42-46(in Chinese)．
[9]
周开乐,杨善林．基于改进模糊C均值算法的电力负荷特性分类[J]．电力系统保护与控制,2012,40(22)：58-63． Zhou Kaile,Yang Shanlin．An improved fuzzy C-means algorithm for power load characteristics classification[J]．Power System Protection and Control,2012,40(22)：58-63(in Chinese)．
[10]
江辉,张清联,彭建春．基于改进云物元模型的风电场电能质量评价[J]．电网技术,2014,38(1)：205-210． Jiang Hui,Zhang Qinglian,Peng Jianchun．An improved cloud matter element model based wind farm power quality evaluation[J]．Power System Technology,2014,38(1)：205-210(in Chinese)．
[11]
王雁凌,张雪佼,阎敬民．基于变权灰云模型的风电场并网技术性综合评价[J]．电网技术,2013,37(12)：3546-3551． Wang Yanling,Zhang Xuejiao,Yan Jingmin．Weight-varying gray cloud model based comprehensive evaluation on technical performance of overall grid-integration of wind farm[J]．Power System Technology,2013,37(12)：3546-3551(in Chinese)．
[12]
赵莎莎,吕智林,吴杰康,等．基于数据包络分析和云模型的火电厂效率评价方法[J]．电网技术,2012,36(4)：184-189． Zhao Shasha,Lü Zhilin,Wu Jiekang,et al．A method to evaluate efficiency of fossil-fuel generating plants based on data envelopment analysis and cloud model[J]．Power System Technology,2012,36(4)：184-189(in Chinese)．
[13]
秦昆,徐敏．基于云模型和FCM聚类的遥感图像分割方法[J]．地球信息科学,2008,10(3)：302-307． Qin Kun,Xu Min．Remote sensing image segmentation based on cloud model and FCM[J]．GEO-Information Science,2008,10(3)：302-307(in Chinese)．
[14]
张艳玲,赵婷丹,李立．基于云模型聚类的淋巴结图像增强[J]．广州大学学报：自然科学版,2013,12(2)：61-66． Zhang Yanling,Zhao Tingdan,Li Li．Image enhancement of lymph node based on cloud-model and clustering[J]．Journal of Guangzhou University：Natural Science Edition,2013,12(2)：61-66(in Chinese)．
[15]
王寅杰．云模型理论研究及其在彩色图像聚类分析中的应用[D]．兰州：兰州交通大学,2013．
[16]
丁麒,王光增．地区电力用户负荷模式聚类分析应用[J]．机电工程,2008,25(9)：31-33． Ding Lin,Wang Guangzeng．Application and cluster analysis of regional electric customer load modes[J]．Mechanical & Electrical Engineering Magazine,2008,25(9)：31-33(in Chinese)．
[17]
范九伦,吴成茂．可能性划分系数和模糊变差相结合的聚类有效性函数[J]．电子与信息学报,2002,24(8)：1017-1021． Fan Jiulun,Wu Chengmao．Clustering validity function based on possibilistic partition coefficient combined with fuzzy variation[J]．Journal of Electronics and Information Technology,2002,24(8)：1017-1021(in Chinese)．
[18]
张忠华．电力系统负荷分类研究[D]．天津：天津大学,2007．
[19]
李德毅,刘常昱．论正态云模型的普适性[J]．中国工程科学,2004,6(8)：28-34． Li Deyi,Liu Changyu．The universality of the theory of normal cloud model[J]．Engineering Science,2004,6(8)：28-34(in Chinese)．
