Solving vegetation management, structure loading and clearance risks in separate workflows
Resiliency & Reliability
Neara's 3D, physics-based network model lets you predict failures, harden your grid, and unlock capacity across every asset—all in one platform.
01 The Premise
Improve system-level resiliency, not just individual asset risk
Prioritize mitigation work based on how asset condition and behavior, vegetation proximity, and environmental conditions interact across the network in every scenario.
Show which feeders need hardening most and why
Prove hardening work lifts system resiliency, not just shifts risk
Know how risk, spend, and response plans change under each scenario
02 The Operational Problem
Most resiliency programs evaluate risks in isolation
Vegetation teams look at trees, engineering teams look at loading, emergency teams look at response. The silos are logical. The problem is that HILF events don't respect them. Failures come from conditions interacting across the network—not from a single threshold crossed in a single place:
- Vegetation falling at just the right angle on an already over‑utilized pole
- Trimming in a windy corridor that unintentionally increases exposure and failure risk nearby
- A hardened pole that simply shifts mechanical stress to adjacent spans
You can have a perfect lens into vegetation, structure loading, and accessibility risk, and still have a very limited understanding of actual network resiliency.
Mitigation work can successfully reduce individual risk vectors while leaving the overall resiliency and reliability risk profile largely unchanged.
03 The Shift
From localized engineering assessments toward network-wide outcome modeling
Modeling interacting characteristics together to understand concentrated failure exposure
Understanding and improving resiliency requires more than visualizing layers of risk together
Historical failure patterns and generalized heuristics
Simulated asset response specific to any scenario
04 Questions We Can Answer
05 The Workflow
Make resiliency decisions based on modeled consequence
Separate everyday risk from real customer impact
Not every potential failure threatens customers in the same way. Neara shows where structural, vegetation, and environmental conditions combine to create meaningful exposure—even if each individual asset looks fine or sits outside the right‑of‑way—so you can focus hardening spend where it actually changes outcomes, not just inspection reports.
See your network as one physics-enabled digital twin
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