Wildfire Mitigation Plans

Driving wildfire mitigation planning with predictive risk management

According to a recent Congressional report, the annual economic burden of wildfires reaches as high as $893 billion. By mid-century, the risk of wildfires could increase six-fold in some areas (see map).

As wildfires increase in frequency and in cost to the U.S. economy, utilities are under increasing pressure to escalate their mitigation efforts—both from regulatory bodies and from concerned stakeholders. Logic20/20 taps into the power of AI and machine learning to help utility providers assess wildfire risks, fine-tune their response plans to reduce risk, and meet compliance obligations to report on their wildfire mitigation plans (WMPs).

prediction of very large fires by mid-century

Risk intelligence: Aligning on goals and requirements

Realizing positive ROI from wildfire mitigation initiatives and programs requires alignment on the goals and requirements of risk intelligence capabilities:

STRATEGY

  • Risk assessment & wildfire mitigation strategy
  • Situational awareness & forecasting from wildfire risk modeling

GRID

  • Grid design, inspections & maintenance
  • Grid operations & protocols

EXECUTION

  • Vegetation management & inspections
  • Asset health monitoring & inspections
  • Emergency preparedness & community engagement
  • Modern risk modeling tools and techniques

Wildfire mitigation plan outcomes

reliability

Improved reliability – SAIDI and SAIFI

Reduced fire risk

Reduced risk of catastrophic wildfire

ROI

Improved ROI of strategic grid investment and hardening

Regulatory compliance

Increased preparedness to meet new regulatory requirements

It all starts with predictive risk modeling

Logic20/20 provides an enterprise risk management framework to guide your utility in operationalizing predictive insights. The same principles apply to wildfire risk mitigation as to other risk modeling. 

process step 1

Identify
risk using process and tools.

process step 2

Analyze
with data insights and expert input.

process step 3

Evaluate
mitigations, efficacy, and timeframes.

process step 4

Prioritize
risks and mitigations.

process step 5

Respond
to risk.

process step 6

Monitor
remaining or residual risk.

Wildfire Mitigation Planner

Data integration

  • Vegetation
  • Climate projections
  • Customer systems
  • Weather
  • Asset information
  • Fire simulation

Investment outcomes

  • ROI: Investment dollars meaningfully reduce wildfire risk
  • Reliability: Fewer unplanned outages and failures
  • Safer communities: Lives and communities protected with wildfire risk reduction

What are your challenges? Let’s talk through the solutions.

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