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	Boosting regression method based on geometric conversion and its application to load forecasting in energy-intensive enterprise
	Kou, Peng; Gao, Feng
刊名	Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
	2013
卷号	33期号:[db:dc_citation_issue]页码:1880-1888
关键词	Binary classification problems Boosting Electricity load forecasting Energy Intensive Enterprises Ensemble learning Geometric operations Load forecasting Regression function
ISSN号	1000-6788
DOI	[db:dc_identifier_doi]
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3311579
专题	西安交通大学
推荐引用方式 GB/T 7714	Kou, Peng,Gao, Feng. Boosting regression method based on geometric conversion and its application to load forecasting in energy-intensive enterprise[J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice,2013,33([db:dc_citation_issue]):1880-1888.
APA	Kou, Peng,&Gao, Feng.(2013).Boosting regression method based on geometric conversion and its application to load forecasting in energy-intensive enterprise.Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice,33([db:dc_citation_issue]),1880-1888.
MLA	Kou, Peng,et al."Boosting regression method based on geometric conversion and its application to load forecasting in energy-intensive enterprise".Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice 33.[db:dc_citation_issue](2013):1880-1888.

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