摘要
准确预测空调系统的负荷,对指导空调系统控制策略的实施,实现节能,有重要意义。应用偏最小二乘(PLS)回归分析法建立了空调系统负荷预测模型,预测出系统负荷。分析计算获得系统的供应负荷,将预测负荷与供应负荷进行在线比较,基于此进行变静压变送风温度控制。
Accurately predicting the load of the air conditioning system has important significance to guiding the implementation of the air conditioning system control strategy and realizing energy saving. In this paper, by applying the Partial Least Squares(PLS) regression analysis method, the load forecasting model of the air-conditioning system is established, and the load of the system is predicted. The supply load of the system is analysed and calculated, and the forecasted load and supply load are compared online, then the air-conditioning system can be controlled by strategy of variable static pressure variable air supply temperature.
出处
《控制工程》
CSCD
北大核心
2016年第6期905-910,共6页
Control Engineering of China
基金
国家自然科学基金(51208059)
城乡建设委员会建设科技项目(SJW201401)
陕西省教育厅专项科研基金项目(2013JK1052)
关键词
偏最小二乘回归分析
负荷预测
变静压变送风温度
PLS regression analysis
load forecasting
variable static pressure variable air supply temperature
