Research on coal price prediction based on SSA-LSTM model
Deeply understanding the reasons behind the coal price trend and accurately predicting the coal price are of great significance to promote the smooth operation of the coal industry chain and improve the operating income of the upstream and downstream enterprises in the coal industry chain,and a coal price prediction model based on SSA-LSTM is proposed to address the problem of coal price prediction.In this study,based on analyzing the factors affecting coal supply and demand,a multi-input variable prediction model based on SSA-LSTM model is established by effectively integrating the Sparrow Search Algorithm(SSA)and the Long Short-Term Memory Network Model(LSTM).The multi-input variable prediction model is used to predict the Bohai Rim Power Coal Price Index,and the results show that the coal price prediction model based on the SSA-LSTM model is more accurate and has better generalization ability for coal price prediction.
coalprice predictioncoal industry chainSSALSTMvariable