The electric power industry is experiencing profound transformations, driven by technological advancements, with artificial intelligence (AI) being at the forefront of this evolution. In particular, the integration of artificial neural networks (ANNs) holds great promise for improving the performance, reliability, and security of power systems. Given the increasing complexity of modern electrical grids, AI can provide vital solutions for fault detection and location, ensuring swift restoration of services. This paper explores the application of ANN techniques to fault analysis, highlighting their efficacy in handling diverse system conditions. The ANN’s speed and simplicity make it an ideal tool for identifying faults in power distribution systems, which is critical for minimizing downtime and improving system resilience.