Title :
Heat load forecasting and optimization of thermal network adjustment method study
Author :
Guo Yingjun ; Hou Yajin
Author_Institution :
Sch. of Electr. Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
By variation with time, analysis and research the heating load, Proposed basing on ARX (Autoregressive Exogenous) build predictive models heating load, At the same time, application of some data to verify the results. By the results we can see that the model has a high degree of accuracy. Finally, according to the forecast the heat load data, you can optimize the adjustment method of heating network, for network control and optimization of thermal certain reference value.
Keywords :
autoregressive processes; heating; load forecasting; optimisation; ARX build predictive model; autoregressive exogenous build predictive model; heating load forecasting; heating network adjustment method; network control; thermal network adjustment method optimization; Accuracy; Data models; Load modeling; Predictive models; Thermal loading; Water heating; forecast; heat network adjusted; optimization;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162785
