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

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.

关键词： ground-coupled heat pump system BP neural network LM algorithm RBF neural network

作者: Yating Zhang Weichang Jiang Ruihua Wang

作者单位: College of Elctronic and Control Engineering,Beijing University of Technology,Beijing,100124,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 2320-2323

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）