A utility can only make a precise decision with precise data.
AWS Console designs, deploys, and monitors dense networks of automated weather stations that give utilities real, circuit-level conditions — wind, humidity, fuel moisture — for Public Safety Power Shutoff decisions, instead of extrapolating from a handful of stations spread across hundreds of miles.
Utility infrastructure causes under 10% of wildfires. It's still tied to roughly half the most destructive ones.
California regulators have found that utility equipment historically starts a small share of reported wildfires overall, but accounts for close to half of the state's most destructive fires — because a single ignition in the wrong conditions, in the wrong place, can escalate fast. Fire-weather conditions vary sharply over just a few miles of terrain, which means a utility's PSPS decisions are only as precise as the weather data feeding them.
Station networks, decision-support console, risk modeling, and field maintenance.
Four services, all built around one goal: circuit-level confidence instead of regional guesswork.
Silas Thorncroft watched a whole valley lose power for one uncertain circuit.
Working in grid reliability at a Western utility, he watched a PSPS event de-energize an entire multi-circuit area because the utility's weather station network couldn't distinguish the genuinely high-risk segment from the neighboring miles that were, by any local measure, calm. The tool to prevent that kind of overly broad shutoff already existed — it just wasn't dense enough. AWS Console exists to make precise, circuit-level data the default, not the exception.
Six stages, from territory risk mapping to full operational deployment.
The same disciplined process whether it's forty circuit miles or four thousand.
Still making PSPS calls from a handful of stations spread across your whole territory? Get in touch — most engagements start with a territory risk mapping review, not a sales call.