AI Electric Aviation Operations
The Problem
“Optimize electric aviation energy and charging operations”
Organizations face these key challenges:
1
Highly peaky, time-critical charging loads that can exceed feeder or substation limits during tightly clustered arrivals/departures
2
Limited visibility and coordination across stakeholders (utility, airport, operator, charging network) causing conservative capacity reservations or last-minute curtailment
3
Cost volatility from demand charges and real-time energy prices, plus battery degradation and safety constraints that make naive charging strategies expensive
Impact When Solved
15–30% peak kW reduction via coordinated charging, storage, and demand response10–20% higher charger utilization and 30–60% fewer curtailment/queue eventsDefers $5–$25M distribution upgrade capex by 1–3 years while improving reliability KPIs