Artificial intelligence algorithms are powerful tools for data processing and prediction，which can improve theaccuracy and efficiency of load forecasting. The load forecasting of the power system refers to predicting the electricity demand ofthe power grid during a specific period of time，which is crucial for the stable operation and optimized management of the power grid. Firstly，the application of artificial intelligence algorithms in power system automation load forecasting is introduced， which improves the accuracy and efficiency of forecasting through data acquisition and multi-directional load forecasting.Secondly，it demonstrated how to optimize the control of the power system by segmenting the predicted results. Finally，practical testing was conducted on the proposed method，verifying its effectiveness and practicality.