肖湘宁．电能质量分析与控制[M]．北京：中国电力出版社,2004：3-4．Xiao Xiangning．Power quality analysis and control [M]．Beiing：China Electric Power Press,2004：3-4(in Chinese)．
[2]
张永超．电力系统不良数据检测和辨识方法研究[D]．成都：西南交通大学,2006．Zhang Yongchao．Bad data detection and identification in power system[D]．Chengdu：Southwest Jiaotong University,2006(in Chinese)．
[3]
吴通华,蒋雷海,李友军,等．电力系统电气量异常采样值实时辨识方法[J]．电力系统自动化,2011,35(23)：95-98．Wu Tonghua,Jiang Leihai,Li Youjun,et al．Real time identification of abnormal sampling data of power system[J]．Automation of Electric Power Systems,2011,35(23)：95-98(in Chinese)．
[4]
王雷,张瑞青,盛伟,等．基于支持向量机的回归预测和异常数据检测[J]．中国电机工程学报,2009,29(8)：92-96．Wang Lei,Zhang Ruiqing,Sheng Wei,et al．Regression forecast and abnormal data detection based on support vector regression[J]．Proceedings of the CSEE,2009,29(8)：92-96(in Chinese)．
[5]
Asheibi A,Stirling D,Sutanto D．Analyzing harmonic monitoring data using supervised and unsupervised learning[J]．IEEE Transactions on Power Delivery,2009,24(1)：293-301．
[6]
Gilreath P,Peterson M,Singh B N．A novel technique for identification and condition monitoring of nonlinear loads in power systems[C]//International Conference on Power Electronics,Drives and Energy Systems．New Delhi,India：IEEE,2006：1-7．
[7]
江苏省电力试验研究院有限公司．一种电能质量稳态指标预警方法：中国,CN201110067687.7[P]．2011-08-31．Jiang Su Electric Power Test Research Institute Corporation．A steady-state power quality index early warning method：China,CN201110067687.7 [P]．2011-08-31(in Chinese)．
[8]
国家标准局．GB 4883-1985 数据的统计处理和解释正态样本异常值的判断和处理[S]．北京：中国标准出版社,1985．China Standard Bureau．GB 4883-1985 Statistical interpretation of data-detection and handling of outlying observations in normal sample[S]．Beijing：China Standard Press,1985(in Chinese)．
[9]
党倩,骆嘉伟,王东．一种基于云理论的异常检测算法研究[J]．计算机应用研究,2009,26(10)：3724-3726．Dang Qian,Luo Jiawei,Wang Dong．Research of anomaly detection algorithm based on cloud theory[J]．Application Research of Computers,2009,26(10)：3724-3726(in Chinese)．
[10]
李德毅,杜鹢．不确定性人工智能[M]．北京：国防工业出版社,2005：23-25．Li Deyi,Du Yi．Uncertainty of artificial intelligence [M]．Beijing：National Defence Industry Press,2005：23-25(in Chinese)．
[11]
李德毅．知识表示中的不确定性[J]．中国工程科学,2000,2(10)：73-79．Li Deyi．Uncertainty in knowledge representation [J]．Engineering Science,2000,2(10)：73-79(in Chinese)．
[12]
孙晓璐,马静,李渊博,等．基于云模型的电压暂降设备敏感度评估[J]．电力系统保护与控制,2011,39(4)：100-104．Sun Xiaolu,Ma Jing,Li Yuanbo,et al．Equipment sensitivity evaluation based on cloud model due to voltage sags[J]．Power System Protection and Control,2011,39(4)：100-104(in Chinese)．
[13]
陈昊,李兵．基于逆向云和概念提升的定性评价方法[J]．武汉大学学报：理学版,2010,56(6)：683-688．Chen Hao,Li Bing．Qualitative evaluation method based on backward cloud and concept generalizing[J]．Journal of Wuhan University：Natural Science Edition,2010,56(6)：683-688(in Chinese)．
[14]
刘晓石,陈鸿建,何腊梅．概率论与数理统计[M]．北京：科学出版社,2000：16-17．Liu Xiaoshi,Chen Hongjian,He Lamei．Probability and mathematical statistics[M]．Beijing：Science Press,2000：16-17(in Chinese)．
[15]
王国胤．云模型与粒计算[M]．北京：科学出版社,2012：78-80．Wang Guoyin．Cloud model and grain calculation [M]．Beijing：Science Press,2012：78-80(in Chinese)．
[16]
李德毅,刘常昱,淦文燕．正态云模型的重尾性质证明[J]．中国工程科学,2011,13(4)：20-23．Li Deyi,Liu Changyu,Gan Wenyan．Proof of the heavy- tailed property of normal cloud model[J]．Engineering Science,2011,13(4)：20-23(in Chinese)．
