Date of Publication:2019-01-01
Journal:系统仿真学报
Volume:31
Issue:5
Page Number:861-868
ISSN No.:1004-731X
Abstract: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.
Note:新增回溯数据
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Main positions:Deputy Director, Department of Civil Engineering, Dalian University of Technology
Other Post:Member of APEC EGEE&C Group
Gender:Male
Alma Mater:Harbin Institute of Technology
Degree:Doctoral Degree
School/Department:Institute of Building Energy, Dalian University of Technology
Discipline:Heat and Gas Supply, Ventilation and Air Conditioning Engineering
Business Address:417 Room, Houxing Building
Contact Information:Email：zhaotianyi@dlut.edu.cn Office:86-411-84707734
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