Name: AI Energy Optimization Lab
Author: MySimulator

Cooling control policy

Control aggressiveness: 50%

This case study models an AI system controlling data center cooling based on predicted server heat load, 48 hours ahead. More aggressive control runs cooling closer to the safety limit to save energy; conservative control keeps a wide safety margin at higher energy cost.

48-hour outcome

Energy used—

Hours within 2°C of thermal limit—

Estimated cost savings—

Server temperature (solid) vs. thermal safety limit (dashed red)