Research on Short-Term Load Forecasting of Large Steel Enterprises Based on LSTM Network

Load forecasting is of great significance to the safety and economic operation of large industrial enterprises, especially steel enterprises. By analyzing the characteristics of load in a large steel enterprise, the Long Short-Term Memory (LSTM) neural network is used to forecast its load according to the actual data. The actual calculation results show that when LSTM is applied to the short-term load forecasting of large steel enterprises, the prediction accuracy is satisfactory.