Coal Price Prediction based on LSTM

Abstract

The price of coal has always been the focus of the government and is affected by various factors. This paper uses days, weeks and months as time units to establish a Long-Short Term Memory Recurrent Neural Network Model (LSTM RNN) to predict the change trend of coal prices. The accuracy and sensitivity of the model are tested, and the results show that the model is stable and has high accuracy