Forecast of gas line status at real time based on modified Elman neural network
Ya Liu · Journal of systems engineering · 2003
Several methods to forecast the gas line status were studied and it was proposed to simulate the changes of gas line status by the gas pressure changes of the important stations in the gas line. With the modified Elman neural network, the model of the gas line status by online studying was built and forecasted the gas line status some time in the future by onestep iterative forecasting method. Simulated with the running material of the gas line in a city of HeNan province, the forecasting deviation value was mostly in the range of ±10%. The result shows that the method is feasible.