一种新的预测冰蓄冷空调负荷的ARMAX模型辨识方法

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	一种新的预测冰蓄冷空调负荷的ARMAX模型辨识方法
	徐今强 1; 冯自平2
	2009
Source Publication	计量学报
ISSN	1000-1158
Volume	000 Issue:006 Pages:555
Abstract	基于系统辨识理论,提出一种新的预测冰蓄冷中央空调平均负荷的外源自回归滑动平均(ARMAX)模型辨识方法.首先根据空调负荷历史数据构建次日平均负荷的ARMAX模型;然后基于不同的室外最高温度建立自适应ARMAX温度区间模型,该模型由几组参数时变的子模型组成,子模型参数由在线回归算法辨识.测试数据表明,所提出的ARMAX温度区间模型与传统的ARMAX模型相比具有较高的预测精度,而且室外最高温度差异越大,效果越明显,可用于冰蓄冷中央空调的优化控制. Abstract： A novel ARMAX model identification method for average load forecasting of ice-storage central air conditioning is introduced based on system identification theory. Firstly an ARMAX model for the next day average load is obtained according to the historical data,then an adaptive ARMAX model is proposed based on different outdoor maximum temperature, the temperature interval based ARMAX model is composed of several time-varyiag sub-models whose parameters are identified using an on-line regression algorithm. As a result, the proposed model has good quality in terms of prediction precision in comparison with traditional ARMAX model, besides, the more outdoor maximum temperature difference, the better prediction precision, it can be applied to the optimal control of ice-storage central air conditioning.
Language	英语
Document Type	期刊论文
Identifier	http://ir.giec.ac.cn/handle/344007/21317
Collection	中国科学院广州能源研究所
Affiliation	1.广东海洋大学 2.中国科学院广州能源研究所
Recommended Citation GB/T 7714	徐今强,冯自平. 一种新的预测冰蓄冷空调负荷的ARMAX模型辨识方法[J]. 计量学报,2009,000(006):555.
APA	徐今强,&冯自平.(2009).一种新的预测冰蓄冷空调负荷的ARMAX模型辨识方法.计量学报,000(006),555.
MLA	徐今强,et al."一种新的预测冰蓄冷空调负荷的ARMAX模型辨识方法".计量学报 000.006(2009):555.

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