Artificial Intelligence in Power Systems: Current Applications and Future Directions

Abstract

Artificial Intelligence (AI) is revolutionizing the design, operation, and maintenance of modern electrical power systems. This paper presents an in depth analysis of AI-based applications in power load forecasting, fault detection, predictive maintenance, and voltage stability analysis. Techniques such as machine learning, deep learning, and reinforcement learning are reshaping the landscape of grid operation and energy management. The synergy between AI and traditional power systems results in more responsive and autonomous networks. By evaluating both current research and real-world implementations, the paper provides a roadmap for the future integration of intelligent algorithms in electrical infrastructure.

Keywords: Artificial Intelligence, Machine Learning in Power Systems, Predictive Maintenance, Grid Stability, Load Forecasting