Investigation of Predictive Regulation Strategy of Secondary Loop in District Heating Systems

The urban energy system is greatly dependent on the District Heating System (DHS). However, many difficulties with regulation and control are caused by its large scale numerous coupling variables. Additionally, reliance manual experience means it can be challenging to guarantee heating comfort effectiveness in of DHS. This paper proposes a data-driven temperature response prediction model predict secondary loop supply based substation’s historical operating status, valve opening degree, weather conditions, etc. Further, XGBoost was established this article different input steps. results show that 72 steps 24 has better performance. As an application example, applied central system. Based model, operation strategies primary compared for analysis. Operators check responses before being applied. guides behavior DHS, which great significance actual