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	An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders
	Tong, Chao; Li, Jun; Lang, Chao; Kong, Fanxin; Niu, Jianwei; Rodrigues, Joel J. P. C.
刊名	JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
	2018
卷号	117页码:267-273
关键词	Deep learning Multi-modal Stacked denoising auto-encoders Feature extraction Support vector regression
ISSN号	0743-7315
DOI	10.1016/j.jpdc.2017.06.007
URL标识	查看原文
收录类别	SCIE
WOS记录号	WOS:000432903500023
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5932731
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Tong, Chao,Li, Jun,Lang, Chao,et al. An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders[J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING,2018,117:267-273.
APA	Tong, Chao,Li, Jun,Lang, Chao,Kong, Fanxin,Niu, Jianwei,&Rodrigues, Joel J. P. C..(2018).An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders.JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING,117,267-273.
MLA	Tong, Chao,et al."An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders".JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING 117(2018):267-273.

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