Application of product and ARIMA model to forecasting electrical energy generation in Hubei Province

Data of electrical energy generation in Hubei Province is pushed forward based on ARIMA model. The data can be resolved into trend term and periodical term by median moving average method. A product model is given. Prediction results show that the method is simple and effective. It is suitable for identifying and forecasting seasonal time series.