Modernizing the Grid with Data Analytics-Driven Approaches from the East and West Utility
As utilities accelerate their grid modernization journeys, data analytics is emerging as the cornerstone for transforming operations, improving reliability, and managing climate-driven risks. This session features regionally distinct utilities—one on the wildfire-prone West Coast, the other in the storm and flood vulnerable East Coast—highlighting how advanced analytics is redefining how they plan, operate, and protect the grid.
On the West Coast, a utility is harnessing a unified data architecture that integrates field sensors, substations, DERs, smart meters, and high-resolution weather feeds. Through geospatial analytics, real-time grid visualization, and machine learning, the utility is enhancing fault detection, automating local distribution control, and performing circuit-level wildfire risk modeling to support proactive mitigation and Public Safety Power Shutoff (PSPS) decisions.
Meanwhile, the East Coast utility is focusing on how enterprise analytics is powering its substation asset modernization program. Leveraging an integrated IoT-based condition monitoring and historical asset performance data, the utility is applying predictive analytics for maintenance optimization, capital planning, and storm hardening. This approach enables risk-informed decision-making and better alignment between asset health, field crew operations, and investment strategies.
Together, these case studies showcase how regional utilities are embedding analytics at the core of their grid modernization initiatives and transforming data into operational intelligence to meet both immediate threats and long-term transformation goals.