Load Forecast of Gas Region Based on ARIMA Algorithm

Gas load forecasting is critical to the supply and optimal scheduling of city gas. Accurate prediction of gas load value is essential for accurate gas supply and gas group gas dispatch. In view of this, this paper proposes a gas load prediction model based on the ARIMA algorithm. Its essence is the combination of AR model and MA model and performs differential operation. The simulation results show that, for the non-stationary state of the gas load sequence, the prediction error of the ARIMA model for the gas load sequence is small, and it will lay a theoretical foundation for the subsequent application in practical engineering problems.