摘要
基于时间序列分析原理,采用最小二乘参数估计方法,通过引入室外温度作为回归项,得到了集中供热系统负荷预测的ARMAX模型并应用于对实际供水温度的预测。通过预测值和实际值的对比,其结果证明了该模型和方法的有效性。
Based on the principle of time series analysis,using least squares parameter estimation method,ARMAX model applied to the central heating system load prediction has been gotten by introducing outdoor temperature as a regression term. Through the actual prediction of the supplied water temperature,the results proved the effectiveness of the proposed model and methods.
出处
《自动化与仪表》
北大核心
2014年第7期1-4,21,共5页
Automation & Instrumentation
基金
中国科学院"十二五"重点部署项目课题(KGZD-EW-302-4)
关键词
扩展自回归滑动平衡模型
集中供热
负荷预测
最小二乘法
时间序列
extended auto-regressive moving average (ARMAX) model
central heating system
load prediction
leastsquare method
time series