Utility-caused wildfires pose severe risks, and operational interventions like PSPS and fast-trip settings reduce ignition likelihood at the cost of service reliability. This visualization highlights how hyperparameter choices shape the tradeoffs between ignition risk mitigation and reliability in our adaptive robust optimization framework for coordinated sectionalization and operational planning.
See our paper for the detailed model and case study results.
US Ignitions — IRWIN-derived all-cause sample (FireCastRL), CONUS 2014–2025. Not a census. Not comparable to CPUC utility-caused ignitions. Sample is California-heavy (~59% of 2024 points; ~40% overall) — a national extent does not mean geographically balanced coverage.
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CPUC High Fire-Threat District: areas where utility infrastructure faces stricter fire-safety rules.
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