Heat load forecasting and optimization of thermal network adjustment method study

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.