Wildfire and extreme weather are placing growing pressure on electric utilities, not only in historically high-risk regions, but across service territories facing more frequent storms, extreme temperatures, high-wind events, flooding, and compounding hazards. In this environment, faster restoration and safer operations increasingly depend on timely, consolidated intelligence: not just what the weather will do, but what the weather will do to the grid and where the impacts are more likely.

In this educational webinar, Technosylva examines how high-resolution outage and flood modeling can be used to anticipate grid impacts days in advance. The session will dive into the mechanics behind this approach, demonstrating how detailed weather modeling is translated into actionable, surgical intelligence for emergency operations, capital planning, and risk assessment. The discussion will explore how utilities are moving beyond weather forecasts, using AI-driven analytics to identify where the grid is most vulnerable and to inform both near-term operational actions, such as crew staging and resource mobilization, and long-term planning decisions.

The goal is to provide a clearer mental model for how these analytics work and how to apply them to reduce restoration time and cost while improving customer outcomes during extreme weather.

What you’ll learn:

• How high-resolution outage and flood modeling translates weather conditions into insight about where grid impacts are most likely and when they matter most
• How impact-focused analytics support both executive decision-making and operational response, from restoration planning and risk management to crew staging and resource mobilization
• How to apply outage and flood modeling insights effectively to improve grid response and restoration outcomes