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	The performance prediction of ground source heat pump system based on monitoring data and data mining technology (EI收录)
	Yan, Lei[1]; Hu, Pingfang[1]; Li, Changhong[2]; Yao, Yu[3]; Xing, Lu[3]; Lei, Fei[1]; Zhu, Na[1]
刊名	Energy and Buildings
	2016
卷号	127页码:1085-1095
关键词	Backpropagation Backpropagation algorithms Data mining Forecasting Geothermal heat pumps Heat pump systems Neural networks Office buildings Pumps Real time systems
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/2193501
专题	华南理工大学
作者单位	1.[1] School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 2.430074, China 3.[2] Non-ferrous Metals Geological Exploration Bureau of Zhejiang Province, Shaoxing 4.312000, China 5.[3] School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 6.430074, China
推荐引用方式 GB/T 7714	Yan, Lei[1],Hu, Pingfang[1],Li, Changhong[2],等. The performance prediction of ground source heat pump system based on monitoring data and data mining technology (EI收录)[J]. Energy and Buildings,2016,127:1085-1095.
APA	Yan, Lei[1].,Hu, Pingfang[1].,Li, Changhong[2].,Yao, Yu[3].,Xing, Lu[3].,...&Zhu, Na[1].(2016).The performance prediction of ground source heat pump system based on monitoring data and data mining technology (EI收录).Energy and Buildings,127,1085-1095.
MLA	Yan, Lei[1],et al."The performance prediction of ground source heat pump system based on monitoring data and data mining technology (EI收录)".Energy and Buildings 127(2016):1085-1095.

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