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	A new method to forecast regional short-term load based on similar load point
	Luo Jun ; He Guang-yu ; Zhang Si-yuan ; Wan Yuan ; Li Xiao-rui
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ genetic algorithms load forecasting power engineering computing regression analysis trees (mathematics)/ forecast regional short-term load similar load point classification and regression tree CART genetic algorithm software system/ B8110D Power system planning and layout B0260 Optimisation techniques B0240Z Other topics in statistics B0250 Combinatorial mathematics C7410B Power engineering computing C1180 Optimisation techniques C1140Z Other topics in statistics C1160 Combinatorial mathematics
中文摘要	On the basis of similar load point a new algorithm to forecast short-term loads in small area is proposed, besides an expert supporting system based on classification and regression tree (CART) and genetic algorithm (GA) is formed, in which the factors related to loads such as meteorological information, small hydropower plants, workday type and so on can quantitatively considered. The pilot calculation for a small area with lower base load is conducted and the calculation results show that the proposed method is correct and efficient. A software system based on the proposed method will be soon applied in a certain power system.
语种	中文 ; 中文
出版者	Electr. Power Res. Inst ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11213]
专题	清华大学
推荐引用方式 GB/T 7714	Luo Jun,He Guang-yu,Zhang Si-yuan,et al. A new method to forecast regional short-term load based on similar load point[J],2010, 2010.
APA	Luo Jun,He Guang-yu,Zhang Si-yuan,Wan Yuan,&Li Xiao-rui.(2010).A new method to forecast regional short-term load based on similar load point..
MLA	Luo Jun,et al."A new method to forecast regional short-term load based on similar load point".(2010).

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