Turning Wildfire Data Into Strategic Investments
Your wildfire data can do more than predict where fires may spread.
It can guide the decisions that protect your grid and your communities.
Your wildfire data can do more than predict where fires may spread.
It can guide the decisions that protect your grid and your communities.
Utilities are under pressure: wildfire threats are rising, regulations are tightening, and budgets are stretched thin. Simply knowing where a fire might ignite isn’t enough.
The real question is: Which investments will make the biggest difference?
By combining wildfire data with DIREXYON’s Asset Investment Planning (AIP) platform, electric utilities can develop mitigation strategies that balance cost, compliance, and resilience long-term.
Every utility’s wildfire and investment planning challenges are different.
That’s why DIREXYON offers two flexible solutions: DIREXYON GO for fast, out-of-the-box data visualization and simulation, and DIREXYON Enterprise for organizations that need a fully configurable, What-If scenario simulation.
Leverage AI to complete your data and run out-of-the-box wildfire and investment simulations.
Configure complex models and run advanced What-If simulations tailored to your network.
In California, utilities must comply with the state’s Wildfire Mitigation Plan (WMP) regulation, which requires them to demonstrate how their investments reduce wildfire risk and protect communities. This means balancing safety, reliability, compliance, and cost in a highly scrutinized environment.
BVES and Liberty Utilities are two examples of electric utilities who take
“The outcomes from the DIREXYON tool empowers BVES with a comprehensive understanding
of network conditions, enabling proactive risk management and informed decision-making for a
more resilient and secure energy infrastructure. “
“With the Direxyon tool, Liberty will be able to assess each circuit at the segment level to target riskier areas of its system effectively. By utilizing risk output metrics…Liberty will be able to identify asset types where specific risk reduction mitigation can be performed to reduce overall risk.”