Local AI model trained
The local model trains in this browser on synthetic Ardrey Kell room-use scenarios, then estimates timing and room-choice savings without sending schedule data away.
School energy planner
LightsOut helps schools schedule clubs, meetings, rooms, lights, and heating/cooling so custodians can prep the right spaces and avoid wasted energy.
The local model trains in this browser on synthetic Ardrey Kell room-use scenarios, then estimates timing and room-choice savings without sending schedule data away.
The CO2 estimate compares the current plan against the recommended lighting and HVAC checklist, using kWh assumptions and a regional emissions factor.
Import measured energy rows to retrain the local model with real school data.
See which rooms need energy before anyone flips a switch.
Visual plan
Risk: estimates can be wrong if room equipment or weather differs from the assumptions.
Mitigation: the app shows assumptions and confidence instead of hiding uncertainty.
Human control: custodians decide what actually turns on or off.
No activities are scheduled for this date.