| The forecasting model has been established based on the BP model with varied learning rate.The input cell includes the five factors influencing the city gas short-period load,i.e.date style,climate style,daily maximum temperature,minimum temperature and averaged temperature.The configuration of the BP network is 5-6-1.The output cell is gas short-period load.The programming is carried out with VC++ and the varied learning rate is 0.3 and 0.7,respectively.The model converges after 19 086 iterations,and the overall error is 0.00049999.The relative error is less than 5%,which indicates that the model is accurate and efficient. |