The restoration process right after the wake of extreme weather has been a main concern for utilities. The unpredictability of power outages leaves utilities significantly less time to improve power storage along with a substantial amount of operating cost. This ultimately leads to customer dissatisfaction and is a major obstacle.
Predicting Outage uses available meteorological data and other forecasting expertise to develop machine learning predictive models and thus proactively prepares companies beforehand regarding weather anomalies. Thus this enhances electric system reliability and benefits utility customers. With the best arrangements, we are improving the functionality and reliability of the system by generating the most accurate predictions of power outages and better characterizing the confidence of weather forecasts.