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Based on rough set theory, associated with clustering and long-term load forecasting method


In the virtual instrument of power harmonics detection system [J]. Electronic Measurement Technology, 2007,30 (2): 90.92. HUQian, TANGZhen-zhou. ElectricHarmonicTestSystemBasedonVirtualInstrument [J]. ElectronicMeasurementTechnology,herve leger toronto, 2007,30 (2) :90-92. Zhao Chengyong high the front, Gu Xiufang. LabVIEW-based Power Quality Integrated Detection System [J]. North China Electric Power University, 2006,33 (2): 63.67. ZHAOCheng-yong, GAOBen-feng, JIAXiu-fang. ComprehensivePowerQualityDetectingSystemBasedonLab V Ⅲ W JournalofNorthChinaElectriCPowerUniversity, 2006,33 (2) :63-67. Received date :2007-04-08; Revised :2007 -09-04 Author: Hui Tong Yu (1967 -), male, Ph.D., associate professor,vibram five fingers outlet, Master Instructor, is mainly engaged in the power of enterprise information, the field of power quality analysis Section m_r-making. E-mail: yatongmu @ 163. com (on the next page 47 continuedfrompage47) 2) use of cluster analysis, according to the degree of similarity to historical data samples are classified, so that samples within the same class of maximum similarity, rather than the similarity of samples within the same minimum. This fully consider and take advantage of a load of time and space, similarity, help to improve the accuracy of load forecasting. 3) This article will rough set theory combined with cluster analysis, the use of rough set reduction results obtained for cluster analysis, proposed a theory based on rough set clustering associated with load forecasting method, the actual numerical example, the method has good accuracy. References [1] FuCW, NguyanTModelsforLong-termEnergyForecastingp [A]. In: IEEEPESGeneralMeeting [C]. 2003.235.239. [2] NIU Dong, Cao Shuhua,MBTシューズ 販売店, Zhao Lei, et al. Power system load forecasting technology and its applications [M]. Beijing: China Electric Power Press, 1998. [3] KandilMS, E1-Debeiky, HasanienNE. Long-termLoadForecastingforFastDevelopingUtilityUsingKn owledge-basedExpertSystem [J]. IEEETransonPowerSystems, 2002,17 (2) ,491-496. [4] KandilMS, E1. Debeiky, HasanienNE. TheImplementationofLong-termForecastingStrategiesUsingaKnowledge-basedExpertSystemII [J]. ElectricPowerSystemsReaserch, 2001,58 (1) :19-25. [5] Zhang Xiu, Wu Wei-chi. Rough set theory and methods [M]. Beijing: Science Press, 2005. [6] Ma Yuliang. Knowledge acquisition in RoughSets theory and its application [D]. Zhejiang: Zhejiang University,tods shoes outlet, 2005. [7] Wu Junyong. Clustering analysis and research [D]. Nanjing: Naval University of Engineering, 2005. [8] Xu-day weeks. Applied Functional Analysis [M]. Beijing: Science Press, 2003. Received date :2007 -05-221 Revised :2007 -08-08 Author: Liping (196 BU), female, master, professor, main research direction for the power system analysis and control: Song Kun (1982 -), male, graduate, mainly for Electric Power System Planning: E. mail: sk9754569 @ sohu. com Xiao Bai (1973 A), male, Ph.D., Lecturer,herve leger sale, Research and relay for the power system stability studies.
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