Capgemini Utility ETR Predictor

This project involves implementing an advanced ETR system to improve the accuracy and consistency of outage restoration predictions. Operating in a secure, segregated environment, the solution will integrate with enterprise systems via APIs and event interfaces. It will combine rule-based logic with AI models, using data such as historical outages, network topology, weather, AMI signals, and field inputs to generate and continuously update ETRs in near real time. The system will provide confidence intervals (P50/P80/P95), ensure full traceability, and deliver explainable predictions, while integrating with key systems like OMS, SCADA, GIS, WFM, and CRM.