Methods of Grid Load Forecasting

1. Methods based on time series models: This method uses historical load data, looks for patterns in its time series, and uses time series models (such as the ARIMA model) to make predictions.

2. Method based on regression modeling: This method uses regression modeling to predict future loads by looking for factors affecting loads, such as meteorological and economic factors.

3. Method based on gray system theory: This method uses the characteristics of the load development history, adopts gray system theory, and makes use of its unique model and prediction method to forecast the load.

4, based on artificial neural network method: the method of electric power load forecasting as a non-linear model of the forecasting problem, the use of artificial neural network model for forecasting.