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The Illusion of Prevention

Focusing solely on where and if a fire might start ignores the critical question of what happens when it does.
Electric utility risk managers nationwide are confronting an escalating challenge: the low probability, high consequence wildfire event.
While predicting ignition points is a crucial first step, there is a dangerous misconception that preventing ignitions equates to mitigating overall wildfire risk.
Focusing solely on where and if a fire might start ignores the critical question of what happens when it does. This gap leaves electric utilities vulnerable to catastrophic outcomes, even with robust ignition prevention efforts.
It only takes one bad wildfire to change the entire future of a community and the utility that serves it.
As climate change fuels drought and increases energy demand, electric utilities in every state – this is no longer a problem of the West alone – face mounting pressure to explain to their communities, creditors and boards how they are mitigating wildfire risk and strengthening their reliability.
The Problem: Ignition Probability isn’t Actual Risk
The critical error many electric utilities make is equating ignition prediction with comprehensive risk assessment.
Ignition prediction is essentially the probability that an ignition will occur at a point, but risk is typically measured as probability of an event multiplied with the consequences of that event.
Wildfire risk is not merely about the likelihood of a fire starting; it’s about the magnitude of the potential consequences if one does.
A small fire in a remote, sparsely populated area poses a drastically different risk than a faster spreading fire near a densely populated community or critical infrastructure.
Focusing solely on ignition prediction fails to account for the potential for widespread damage, loss of life, and economic disruption.
This approach leads to a dangerous blind spot, where utilities may believe they have adequately mitigated risk by focusing on ignition prevention, while remaining dangerously exposed to the devastating consequences of a large-scale wildfire. Without understanding the potential consequence of a fire, prioritizing mitigation efforts becomes guesswork rather than a data-driven strategy.
The Challenge to Address
For this critical decision-making, electric utilities need to combine ignition probability with consequence analysis. This means:
- Quantifying Impact: Consequence modeling quantifies the potential damage of a fire, including impacts on human life, property, and infrastructure. This data is essential for prioritizing mitigation efforts and targeting asset-hardening under limited budgets and rate increase abilities.
- Forecasting Fire Spread: Advanced fire spread modeling, integrated with weather forecasts, can predict the path and impact of a fire originating from a specific asset. This allows utilities to identify the most dangerous potential ignitions.
- Understanding Asset-Specific Risk: Every asset has a unique ignition probability based on its condition, age, surrounding environment, and other factors. Electric utilities can analyze historical ignition data alongside potential fire spread models to understand the impact of a fire (ignition probability and consequence) originating from each asset.
Prioritizing Hardening with Risk Spend Efficiency (RSE)
With limited resources, electric utilities need to maximize the impact of their mitigation investments.
Consequence-based risk modeling allows for the calculation of improved Risk Spend Efficiency (RSE). RSE measures the risk reduction achieved per dollar invested in hardening. By prioritizing assets with the highest RSE, utilities can achieve the greatest risk reduction for their budget.
The Bigger Picture: Moving from Planning to Operations
Safety and risk management are driving the adoption of consequence-based modeling, but the benefits extend beyond planning.
Understanding wildfire risk improves operational efficiency and informs critical decisions like Public Safety Power Shutoffs (PSPS) during an extreme weather event. As wildfire severity and frequency increase, this data-driven approach has become essential for all electric utilities.
Looking Ahead
The future of wildfire risk management for electric utilities depends on moving beyond the limited scope of ignition prediction.
By embracing consequence-based risk modeling, electric utilities can gain the critical insights needed to prioritize asset hardening, optimize mitigation strategies, and ultimately, protect communities and infrastructure from the devastating impacts of wildfire. The widening of risk management from solely preventing fires to understanding and mitigating their potential consequences is no longer optional, it is an imperative.
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6 Pillars of Wildfire Resilience: Empowering Utility Decisions in Extreme Weather

Investing in advanced data-driven solutions ensures a proactive, rather than reactive, approach to managing extreme weather challenges.
The Problem: Evolving Risk Requires Better Decision-Making
Managing wildfire and extreme weather risks is a paramount concern for electric utilities. The increasing frequency and intensity of these events demand robust strategies and new, often advanced tools.
Electric utility risk managers face a complex landscape of challenges spanning from risk assessment to regulatory compliance.
To address this, they need a comprehensive suite of solutions at their fingertips. These solutions must be designed to advance their decision-making for risk mitigation and enhance operational efficiency and safety.
1. Identifying and Prioritizing Threats
Accurate risk assessment forms the foundation of any effective wildfire mitigation program. Electric utilities must identify potential ignition sources, analyze fuel conditions, evaluate weather patterns, and understand the vulnerability of their assets.
Sophisticated modeling and data analysis play a critical role in this process. The ability to integrate real-time weather data, fuel mapping, and historical fire behavior helps create dynamic risk assessments.
By utilizing advanced risk modeling, utilities can prioritize mitigation efforts and allocate resources more effectively, shifting from reactive responses to proactive risk management.
2. Maintaining Service During Extreme Events
Wildfires and extreme weather can severely disrupt operations, leading to power outages and safety concerns.
Electric utilities need real-time situational awareness to make informed decisions about de-energizing lines, rerouting power, and deploying resources. A comprehensive operational support system should integrate multiple data streams, including weather forecasts, fire spread predictions, and infrastructure data.
By visualizing the relationship between fire behavior and grid assets, operators can anticipate challenges, mitigate service interruptions, and maintain system reliability during critical events.
3. Measuring the Impact of Investments
Electric utilities invest significant resources in mitigation strategies, such as vegetation management, hardening infrastructure, and creating firebreaks. However, demonstrating the effectiveness of these investments can be challenging.
Data-driven analysis is essential for assessing the impact of these initiatives. By comparing pre- and post-mitigation conditions and modeling fire behavior in treated areas, utilities can quantify risk reduction and refine their strategies.
This ensures that investments are not only justified, but also optimized for maximum impact.
4. Responding Effectively to Wildfire Events
Effective emergency planning is essential for minimizing the impact of wildfires. Electric utilities need comprehensive plans that outline procedures for evacuation, resource deployment, and communication with stakeholders.
Fire tracking, predictive modeling, and scenario-based planning enhance response efforts by providing insights into fire spread, enabling proactive deployment of resources, and improving response times.
A well-integrated emergency response strategy ensures that utilities can minimize damage, protect assets, and enhance overall wildfire resilience.
5. Meeting and Exceeding Evolving Regulatory and Stakeholder Requirements
The regulatory landscape surrounding wildfire safety is constantly evolving. Electric utilities must comply with a growing number of regulations and reporting requirements. Tracking mitigation activities, generating reports, and documenting risk assessments are all essential for demonstrating compliance and accountability.
Automated reporting and data management solutions can significantly streamline these processes, allowing utilities to efficiently meet regulatory requirements while maintaining transparency with stakeholders.
A structured approach to compliance ensures that utilities can stay ahead of evolving policies without diverting critical resources away from proactive risk management.
6. Protecting your Communities and Workers in the Field
Safety is paramount. Utilities must prioritize the safety of both the public and their workforce. Real-time visibility into fire hazards, evolving weather conditions, and infrastructure vulnerabilities is essential for making informed operational decisions.
Enhancing situational awareness through integrated data platforms empowers electric utilities to take proactive steps, such as de-energizing at-risk lines, deploying response teams strategically, and communicating effectively with the public.
A strong safety-focused approach ensures that communities and employees are better protected against wildfire threats.
The Bottom Line
By prioritizing these six pillars, electric utilities can build a more resilient wildfire mitigation strategy. A strategy that enhances decision-making, strengthens operational effectiveness, and safeguards both infrastructure and communities.
Investing in advanced data-driven solutions ensures a proactive, rather than reactive, approach to managing extreme weather challenges.
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Put Your Wildfire Risk into Context
Electric companies need to leverage a comprehensive understanding of their asset wildfire risk to plan for a safer future. With applied technology, they can reconstruct past fire seasons to truly define outlier events and model the consequences of asset-caused ignitions to identify trends and patterns that better prepare them for future wildfire risks. A shifting regulatory and legal landscape around wildfire liability is requiring electric companies to think differently about risk.
“Attempting to forecast wildfire risk without using past events as a baseline is like analyzing a single data point without any reference.“
Attempting to forecast wildfire risk without using past events as a baseline is like analyzing a single data point without any reference. Technosylva’s Senior Data Scientist, Pavel Grechanuk, discussed in Electric Perspectives Magazine the importance of using the data of historical fire seasons to prepare for future extreme weather events. He emphasizes that electric companies must not only analyze simulated wildfire consequences, but also understand the likelihood of their assets igniting wildfires. By constructing dynamic models and analyzing past events, electric companies can gain a comprehensive understanding of their assets’ wildfire risk.
This approach allows for proactive measures to be taken across operations and mitigation to address the impact of future extreme weather events. The use of historical data also allows for the identification of trends and patterns, providing valuable insights into where the risk of wildfire and its impacts to communities truly exists across an electric company’s service area. By understanding the expected risk from their assets across a historic timeline view of “unprecedented” outliers, utilities can efficiently prioritize grid-hardening and mitigation efforts, making the best use of their limited budget resources and regulatory processes.
Furthermore, by contextualizing future events with a robust database of historical risks, electric companies can effectively monitor the frequency and intensity of weather events and identify specific assets along their lines that will be most impacted by climate change. This proactive approach to risk management not only ensures the safety of assets and communities, but also helps in minimizing the potential consequences of asset-caused wildfires.
Learn how you can predict, mitigate, and prevent your evolving wildfire risk and additionally, how Technosylva solutions provide leading electric utilities with increased risk management, operations, asset mitigation, emergency planning, regulatory compliance, and improved public safety.
You can read the full article in Electric Perspectives Magazine here.