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个人信息Personal Information
副教授
博士生导师
硕士生导师
主要任职：Deputy Director, Department of Civil Engineering, Dalian University of Technology
其他任职：APEC Energy Working Group Member, Member of APEC Expert Group on Energy Efficiency and Conservation (EGEE&C)
性别：男
毕业院校：哈尔滨工业大学
学位：博士
所在单位：土木工程系
学科：供热、供燃气、通风及空调工程
办公地点：厚兴楼417房间
联系方式：0411-84707734
电子邮箱：zhaotianyi@dlut.edu.cn
变风量空调室温滞后神经网络模型辨识及预测
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发表时间：2019-01-01
发表刊物：系统仿真学报
卷号：31
期号：5
页面范围：861-868
ISSN号：1004-731X
摘要：Aiming at the problem of mathematical description for dynamic response characteristic of indoor temperature time-delay system, the fundamental principle of neural network model identification is introduced in regulation process of variable air volume (VAV) air conditioning system. Considering the model structure of Elman neural network, this paper presents an optimal selection algorithm for layer delay coefficient in order to determine delay time between indoor temperature and regulation parameters; and a multiple-step prediction model of indoor temperature time-delay system based on Elman neural network is built. The effectiveness of the proposed method is validated through the simulation experiment.
备注：新增回溯数据