QQ客服 官方微博 反馈留言

	Approaches to wind power curve modeling: A review and discussion
	Wang, Y.; Hu, Q.; Li, L.; Foley, A.M.; Srinivasan, D.
刊名	Renewable and Sustainable Energy Reviews
	2019
卷号	Vol.116
关键词	Asymmetric distributions Asymmetric loss function Error characteristics Wind data classification Wind data preprocessing Wind power curve modeling
ISSN号	1364-0321
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2888221
专题	天津大学
作者单位	1.a School of Automation, Central South University, Changsha, 410083, China 2.b College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China 3.c School of Artificial Intelligence, Hebei University of Technology, Tianjin, 300401, China 4.d School of Mechanical and Aerospace Engineering, Queen's University Belfast, BT9 5AH, United Kingdom 5.e Department of Electrical and Computer Engineering, National University of Singapore, 119077, Singapore 6.f Tianjin Key Lab of Machine Learning, Tianjin University, Tianjin, 300350, China
推荐引用方式 GB/T 7714	Wang, Y.,Hu, Q.,Li, L.,et al. Approaches to wind power curve modeling: A review and discussion[J]. Renewable and Sustainable Energy Reviews,2019,Vol.116.
APA	Wang, Y.,Hu, Q.,Li, L.,Foley, A.M.,&Srinivasan, D..(2019).Approaches to wind power curve modeling: A review and discussion.Renewable and Sustainable Energy Reviews,Vol.116.
MLA	Wang, Y.,et al."Approaches to wind power curve modeling: A review and discussion".Renewable and Sustainable Energy Reviews Vol.116(2019).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。