Real-time Monitoring: AI can process vast amounts of data from sensors and smart grids in real time, identifying anomalies that might indicate a fault. Machine learning algorithms, particularly those trained on historical data, can quickly detect unusual voltage, current, and frequency patterns that signal potential issues.

Image and Video Analysis: AI-powered image recognition systems can analyze visual data from cameras placed on power lines and substations to detect physical damage, such as fallen trees or broken equipment.

Signal Processing: AI algorithms can analyze signals from electrical equipment to detect partial discharges, insulation failures, or other early indicators of faults.

Pattern Recognition: AI can recognize patterns in the operational data that precede faults, allowing for earlier detection and intervention.