Air-conditioning system load forecasting based on adaptive neural fuzzy inference system

被引：0
|
作者：
Wang, Jianyu [1 ]
Ren, Qinchang
Li, Anguin
机构：
[1] Xian Univ Architecture & Technol, Xian 710055, Peoples R China
[2] Jiangsu Changzhou Higher Voactional Sch Construct, Changzhou 213016, Peoples R China
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATING AND AIR CONDITIONING, VOLS I AND II | 2007年
关键词：
ANFIS; air conditioning load; adaptive root mean squared error; load forecasting;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Accurate prediction of the dynamic air-conditioning load in a building is a key for HVAC system design. It is also useful in the optimal and energy saving operation of HVAC systems. In this paper, one kind of prediction method for air conditioning load based on ANFIS is described in detail. As an example, a case study is presented to forecast the air conditioning load using this method. The results show that the model and method are simple, relatively exact and reliable.
引用
收藏
页码：37 / 42
页数：6
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