Machine Learning Model for Real-time Prediction of Influx of Critical Corrective Maintenance Work on the Grid

Electric utilities spend millions of dollars a year on emergent priority corrective maintenance work. Increased demand on the system due to electrification, data centers, and the integration of renewables is mounting additional pressure to maintain and improve reliability. Priority corrective maintenance addresses defects or urgent issues identified by monitoring systems or outages. To maintain a reliable grid with minimal customer interruptions and downtime, utilities must focus on responding to outages and equipment failures caused by extreme weather while keeping transmission and substation systems safe, environmentally conscious, and stable.