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教育背景: 1.1998-2002年:毕业于西安建筑科技大学(本科); 2.2002-2005年:毕业于西安建筑科技大学(硕士); 3.2011-2017年:毕业于西安建筑科技大学(博士); 工作经历: 1.2005至今:担任西安建筑科技大学信息与控制工程学院专业教师; 社会兼职: 陕西省自动化学会智能建筑与楼宇自动化专业委员会秘书
冯增喜
Associate professor
Paper Publications
The Optimum Start-up of Central Air-conditioning Based on Neural Network
Release time:2024-08-09 Hits:
Affiliation of Author(s):
建筑设备科学与工程学院
Journal:
2010 3rd IEEE International Conference on Computer Science and Information Technology(IEEE ICCSIT 2010)
Key Words:
中文关键字:(本文章无中文关键字),英文关键字:air-conditioning system; preheat time; neural netw
Abstract:
The preheat time of central air-conditioning system preheating space is not only affect the comfort of environment, but also affect energy consumption. A preheat time model is established based on the thermodynamics principle, and an optimum stat-up algorithm of central air-conditioning system is proposed based on the NN(neural network), the simulation result shows that this method can predict the preheat time accurately which make central air-conditioning system save energy.
Note:
冯增喜
First Author:
yujunqi,任庆昌,fengzengxi
Indexed by:
Journal paper
Volume:
卷:7
Issue:
期:
Page Number:
页:286
Translation or Not:
no
Date of Publication:
2010-07-01

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