AIR-CONDITIONING SYSTEM LOAD FORECASTING BASED ON ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM

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.

关键词： ANFIS air conditioning load adaptive root mean squared error load forecasting

作者: Jianyu Wang Qinchang Ren Angui LI

作者单位: Xi’an University of Architecture & Technology,Xi’an 710055, China；Jiangsu Changzhou Higher Vocationa Xi’an University of Architecture & Technology,Xi’an 710055, China； Xi’an University of Architecture & Technology,Xi’an 710055, China

会议类型: 国际会议

会议名称: 第五届暖通空调国际研讨会(Proceedings of the 5th International Symposium on Heating,Ventilating and Air Conditioning)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-09-07（万方平台首次上网日期，不代表论文的发表时间）