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Electric Utility Companies
Next-Generation models

Pyregence is creating next-generation models to forecast fire risk in the coming week—and for the rest of the century. We’re pioneering new research into weather, fuels, and wildfire, and feeding this data into both near- and long-term risk models.

Thanks to these innovations, Pyregence’s near-term wildfire forecasting models will provide the fastest and most accurate forecasts available, ensuring that decision-makers have the critical forecasts they need as quickly as possible. And our long-term climate change and fire projection models will provide a range of projections of wildfire risk for coming decades, which will promote effective policy, planning, and risk mitigation.

Wildfire Forecasting

We provide the forecasts utility companies need to get ahead of the curve. Understand risk and take action. Reduce fire damage both to and from the power grid. Protect workers and the public.

Know where to manage vegetation around electric system infrastructure.

Know when to treat poles in the path of potential fires.

Know where to manage vegetation around electric system infrastructure.

Know when to cut power in areas where transmission lines may cause fires.


Fire Forecasting Application: PyreCast™
Our web tool provides several forecasts, including active fire spread, fire weather , and fire risk.
Fire Forecasting
User’s Guide
Guide provides instructions on using the near-term risk forecast outputs
Fire Forecasting Data
Datasets include input and output data from near-term forecast models
Fire Forecasting Code
Repository contains programming code used to run near-term spread and risk forecast models

Climate Change and Fire-Risk Projections

Utility companies can draw on fire-risk projections for coming decades to manage and design a power grid that will be resilient in the face of extreme fires driven by climate change.

Target select transmission lines to be moved underground in order to eliminate dangers posed by wind and trees.

Identify transmission corridors that are at particularly high risk of wildfires and conduct appropriate infrastructure hardening measures.

Decide where to install stronger poles or replace bare power lines with insulated lines that are more resistant to outages caused by wind and fallen trees and branches.

Know where to conduct fuel-reduction operations through prescribed burns or mechanical treatments.

Know when to treat poles in the path of potential fires.


The ability to assess and forecast wildfire risk based on weather conditions and other environmental factors such as fuel load is critical. Want to learn more about the research we’re advancing in these areas? Visit the following pages.

Extreme Weather and Wildfire

This team will ensure that utility companies and government agencies have the fire weather forecasts they need to make life-saving decisions. Using machine learning and wildfire simulation techniques, our scientists are evolving our understanding of the relationship between weather conditions and wildfires.

Forest Fuels and Fire Behavior

To understand fire behavior, you must first understand fuel loads. We’re improving the accuracy of fire behavior forecasting by increasing our understanding of the fuels available on the forest floor. Our scientists will map the current amount, types, and distribution of fuels, and project future fuel loads over the next 10–20 years. We’re also conducting laboratory experiments to better understand how different sizes and types of fuels burn under varying weather conditions.


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