When a major storm is bearing down, every utility in its path calls for crews and materials at the same time. The ones that secure resources first have better data and earlier lead time. That advantage comes down to how a utility consumes and acts on weather intelligence, and how deeply that information is wired into operational decision-making.Â
In this on-demand webinar, utility operations leaders will share how they made the shift from static forecasts to probabilistic, asset-level impact modeling. They’ll cover the technologies available, what it took to integrate, and what the results have looked like in real storm scenarios.Â
PanelistsÂ
Renny Vandewege, General Manager, Weather & Climate Intelligence, DTN
Dustin McKen, Director of Asset Management, Black Hills Energy
Raihan Khondker, Manager, Generation and Transmission Weatherization, ERCOT
Alex Macksoud, Moderator
Key Discussion TopicsÂ
The operational limits of traditional weather alerting for grid reliability.
The role of hyperlocal, asset-specific forecasting in advanced outage prediction.Â
Strategies for integrating predictive weather intelligence seamlessly into existing OMS, GIS, and SCADA environments.Â
Methods for quantifying ROI through reduced restoration times, the avoidance of performance penalties, and the protection of your regulatory standing.Â
The future trajectory of AI-driven storm impact modeling and its impact on grid modernization.