Steel Price Forecasting Method Based on EEMD Combined Model
As a representative commodity of industrial commodities,steel price research can help the stable development of the steel industry.To explore the dynamics of steel prices,a new combined model named EEMD-TRANSFORMER-ARIMA is proposed,which is based on the Ensemble Empirical Mode Decomposition(EEMD)method and Transformer attention mechanism and Autoregressive Integrated Moving Average(ARIMA)model.EEMD decomposes the steel price time series data,the stability of the decomposed component data is tested,and the Transformer model and ARIMA model are used for prediction.The experiment indicates that the combined models take full advantage of the strong points of several single models and deal with non-stationary and non-linear time series.The result shows that EEMD-TRANSFORMER-ARIMA has excellent predicting performance for all six steel price data.It will be an effective method of prediction that will assist the government and enterprises in making market decisions.
steel price forecastssteel futuresensemble empirical mode decompositionTransformer model
NETL
NSTL
万方数据
