Burke D J,O’Malley M J.A study of principal component analysis applied to spatially distributed wind power[J].IEEE Trans on Power Systems,2011,26(4)：2084-2091.
[3]
张明理,杨晓亮,滕云,等.基于主成分分析与前向反馈传播神经网络的风电场输出功率预测[J]. 电网技术,2011,35(3)：83-87. Zhang Mingli,Yang Xiaoliang,Teng Yun,et al.Forecasting of wind farm generation output based on principal component analysis and back propagation neural network[J].Power System Technology,2011,35(3)：83-87(in Chinese).
[4]
于之虹,郭志忠.改进主成分分析法用于暂态稳定评估的输入特征选择[J].电力自动化设备,2003,23(8)：17-21. Yu Zhihong,Guo Zhizhong.Improved principal component analysis to feature selection for transient stability assessment[J].Electric Power Automation Equipment,2003,23(8)：17-21(in Chinese).
[5]
赵杰辉,葛少云,刘自发,等.基于主成分分析的径向基函数神经网络在电力系统负荷预测中的应用[J].电网技术,2004,28(5)：35-40. Zhao Jiehui,Ge Shaoyun,Liu Zifa,et al.Application of radial basic function network based on principal component analysis in load forecasting[J].Power System Technology,2004,28(5)：35-40(in Chinese).
[6]
安军,穆钢,徐炜彬.基于主成分分析法的电力系统同调机群识别[J].电网技术,2009,33(3)：25-28. An Jun,Mu Gang,Xu Weibin.Recognition of power system coherent generators based on principal component analy-sis[J].Power System Technology,2009,33(3)：25-28(in Chinese).
[7]
高新华,严正.基于主成分聚类分析的智能电网建设综合评价[J].电网技术,2013,37(8)：2238-2243. Gao Xinhua,Yan Zheng.Comprehensive assessment of smart grid construction based on principal component analysis and cluster analysis[J].Power System Technology,2013,37(8)：2238-2243(in Chinese).
[8]
Jiang Huiyuan.Application of principal component analysis in synthetic appraisal for multi-objects decision-making[J].Journal of Wuhan University of Technology,2004,3(6)：467-470.
[9]
李卫东.应用多元统计分析[M].北京：北京大学出版社,2008：197-200.
[10]
周松林,茆美琴,苏建徽.基于主成分分析与人工神经网络的风电功率预测[J].电网技术,2011,35(9)：128-132. Zhou Songlin,Mao Meiqin,Su Jianhui.Prediction of wind power based on principal component analysis and artificial neural network[J].Power System Technology,2011,35(9)：128-132(in Chinese).
[11]
程其云,王有元,陈伟根,等.基于改进主成分分析的短期负荷预测方法[J].电网技术,2005,29(3)：64-67. Cheng Qiyun,Wang Youyuan,Chen Weigen,et al.Modified principal component analysis based shot-term load forecasting[J].Power System Technology,2005,29(3)：64-67(in Chinese).
[12]
叶双峰.关于主成分分析做综合评价的改进[J].数理统计与管理,2001,20(2)：52-55. Ye Shuangfeng.The application and consideration about principal component analysis[J].Application of Statistics and Management,2001,20(2)：52-55(in Chinese).
[13]
罗毅,周创立,刘向杰.多层次灰色关联分析法在火电机组运行评价中的应用[J].中国电机工程学报,2012,32(17)：97-103. Luo Yi,Zhou Chuangli,Liu Xiangjie.Application of the multi-level grey relational analysis method in operation assessment of thermal power units[J].Proceedings of the CSEE,2012,32(17)：97-103(in Chinese).
[14]
徐雅静,汪远征.主成分分析应用方法的改进[J].数学的实践与认识,2006,36(6)：68-75. Xu Yajing,Wang Yuanzheng.The improvement of the application method of principle component analysis[J].Application of Statistics and Management,2006,36(6)：68-75(in Chinese).
[15]
马瑞,康仁,罗斌,等.基于改进主成分分析法的火电机组能耗特征识别方法[J].电网技术,2013,37(5)：1196-1201. Ma Rui,Kang Ren,Luo Bin,et al.An improved principal component analysis based recognition method for energy consumption characteristics of thermal generation unit[J].Power System Technology,2013,37(5)：1196-1201(in Chinese).
[16]
李涛,刘东,王媚,等.改进主成分分析法在配电变压器综合评价中的应用研究[J].继电器,2006,34(24)：26-32. Li Tao,Liu Dong,Wang Mei,et al.Study on comprehensive evaluation for distribution transformer based on modified principal component analysis[J].Relay,2006,34(24)：26-32(in Chinese).
[17]
洪军,司风琪,毕小龙,等.火电机组运行优化系统的现状与展望[J].电力系统自动化,2007,31(18)：96-103. Hong Jun,Si Fengqi,Bi Xiaolong,et al.Review on the developments of thermal power unit operation optimization system[J].Automation of Electric Power Systems,2007,31(18)：96-103(in Chinese).
[18]
聂宏展,聂耸,乔怡,等.基于主成分分析法的输电网规划方案综合决策[J].电网技术,2010,34(6)：134-138. Nie Hongzhan,Nie Song,Qiao Yi,et al.Comprehensive deci-sion-making of alternative transmission network planning based on principal component analysis[J].Power System Technology,2010,34(6)：134-138(in Chinese).
[19]
靳涛,付忠广,满若岩,等.火电厂综合评估的模糊评价法[J].热能动力工程,2010,25(5)：473-477. Jin Tao,Fu Zhongguang,Man Ruoyan,et al.A fuzzy evaluation method for comprehensively evaluating a thermal power plant[J].Journal of Engineering for Thermal Energy and Power,2010,25(5)：473-477(in Chinese).
