Abstract:With the continuous expansion and increasing complexity of the power system, traditional power dispatching and fault handling modes are no longer able to meet the reliability and efficiency requirements of modern power grids. This article proposes an intelligent scheduling and fault prediction system based on artificial intelligence, detailing the system''s architecture design, key technology implementation, fault prediction model construction, and practical application cases. By introducing machine learning and deep learning techniques, the system can significantly improve the efficiency and reliability of power dispatch, and reduce outage time and losses through fault prediction. This article verifies the effectiveness of the system through practical cases and looks forward to future development directions.