Modeling Research on Ground-Coupled Heat Pump System Based on Artificial Neural Network

被引：0
|
作者：
Zhang, Yating [1 ]
Jiang, Weichang [1 ]
Wang, Ruihua [1 ]
机构：
[1] Beijing Univ Technol, Coll Elctron & Control Engn, Beijing 100124, Peoples R China
来源：
26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年
关键词：
ground-coupled heat pump system; BP neural network; LM algorithm; RBF neural network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
As a new technology of renewable energy, ground-coupled heat pump system has been rising in our country in recently years. However because of the nonlinear and high degree of coupling, it is not clear to find out the relationship between control variables and total energy consumption of the system. This paper proposes a modeling way for ground-coupled heat pump system that uses artificial neural network, it builds the relationship between control variables and total energy consumption of the system directly. Through the comparison we can find a better way for building the Ground-coupled heat pump System.
引用
收藏
页码：2320 / 2323
页数：4
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