节点文献
基于ARMAX模型的集中供热系统负荷预测研究
Central Heating System Load Prediction Based on ARMAX Model
【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。
【Abstract】 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.
【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;
【Key words】 extended auto-regressive moving average(ARMAX) model; central heating system; load prediction; least square method; time series;
【Key words】 extended auto-regressive moving average(ARMAX) model; central heating system; load prediction; least square method; time series;
【基金】 中国科学院“十二五”重点部署项目课题(KGZD-EW-302-4)
- 【文献出处】 自动化与仪表 ,Automation & Instrumentation , 编辑部邮箱 ,2014年07期
- 【分类号】TU995
- 【被引频次】15
- 【下载频次】288