Research on Electricity Load Forecasting Based on the GWO-LSTM Algorithm

In the process of construction and operation of the power grid, power load forecasting is a very important part, according to the forecast results, can be better grid scheduling and security monitoring and other important work, so it is very necessary to do the forecast as much as possible to improve the prediction accuracy, according to the selection of the data in the temperature, humidity, date type and load data analysis, the use of optimization of the hyperparameters of the LSTM neural network through the grey wolf optimization algorithm , and finally the use of the optimized model for prediction.