Citation: | CHEN Weirong, ZHENG Yongkang, DAI Chaohua, WANG Weibo. Short-Term Load Forecasting Based on Complex Morlet Wavelet SVM[J]. Journal of Southwest Jiaotong University, 2009, 22(5): 631-636. |
蒋传文,袁智强,侯志俭,等.高嵌入维混沌负荷序列预测方法研究[J].电网技术,2004,28(3):25-28.JIANG Chuanwen,YUAN Zhiqiang,HOU Zhijian,et al.Research of forecasting method on chaotic load series with high embedded dimension[J].Power System Technology,2004,28(3):25-28.[2] 张步涵,刘小华,万建平,等.基于混沌时间序列的负荷预测及其关键问题分析[J].电网技术,2004,28(13):32-35.ZHANG Buhan,LIU Xiaohua,WAN Jianping,et al.Load forecasting based on chaotic time series and analysis of its key factors[J].Power System Technology,2004,28(13):32-35.[3] 李元诚,方廷健,于尔铿.短期负荷预测的支持向量机方法研究[J].中国电机工程学报,2003,23(6):55-59.LI Yuancheng,FANG Tingjian,YU Erkeng.Study of support vector machines for short-term load forecasting[J].Proceedings of the CSEE,2003,23(6):55-59.[4] 谢宏,魏江平,刘鹤立.短期负荷预测中支持向量机模型的参数选取和优化方法[J].中国电机工程学报,2006,26(22):17-22.XIE Hong,WEI Jiangping,LIU Heli.Parameter selection and optimization method of SVM model for short-term load forecasting[J].Proceedings of the CSEE,2006,26(22):17-22.[5] ZHANG Mingguang.Short-term load forecasting based on support vector machines regression[C] ∥Proceedings of the Fourth International Conference on Machine Learning and Cybernetics.Guangzhou:[s.n.],2005:4310-4314.[6] 姜惠兰,刘晓津,关颖,等.基于硬C均值聚类算法和支持向量机的电力系统短期负荷预测[J].电网技术,2006,30(8):81-85.JIANG Huilan,LIU Xiaojin,GUAN Ying,et al.Short-term load forecasting based on hard-c mean clustering algorithm and support vector machine[J].Power System Technology,2006,30(8):81-85.[7] VAPNIK V N.Statistical learning theory[M].New York:Springer-Verlag,2000.[8] NELLO C,JOHN S T.An introduction to support vector machines and other kernel-based learning methods[M].Cambridge:Cambridge University Press,2000.[9] 戴朝华,朱云芳,陈维荣.云遗传算法[J].西南交通大学学报,2006,41(6):729-732.DAI Chaohua,ZHU Yunfang,CHEN Weirong.Cloud theory-based genetic algorithm[J].Journal of Southwest Jiaotong University,2006,41(6):729-732.[10] Burges C J C.Geometry and invariance in kernel based methods[C] ∥Proceedings of Advance in Kernel Methods-support Vector Learning.Cambridge:MIT Press,1999:89-116.[11] SMOLA A,SCH(O)LKOPF B,M(U)LLER K R.The connection between regularization operators and support vector kernels[J].Neural Network,1998,11(4):637-649.[12] ZHANG Li,ZHOU Weida,JIAO Licheng.Wavelet support vector machine[J].IEEE Transactions on systems,man,and cybernetics-Part B:cybernetics,2004,34(1):34-39.
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