This workflow automates the critical, time-sensitive bottleneck of diagnosing outages and informing customers. By correlating SCADA alarms, smart meter last-gasp signals, and hyper-local weather data in real time, it determines the most probable cause (e.g., tree contact, animal, equipment failure) and calculates a dynamic Estimated Time to Restoration (ETR). This replaces manual dispatcher investigation and scripted call-center updates, directly reducing Customer Minutes of Interruption (CMI) and improving SAIDI/SAIFI scores through faster, more accurate intelligence.




