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Climate Comfort Optimization

Intelligent climate control using room-by-room sensors, occupancy detection, and learning algorithms for optimal comfort and efficiency

Complexity: Complex | Duration: Continuous | Category: Personal/Productivity

Tags: climate-control optimization comfort energy-efficiency machine-learning

Workflow Diagram​

Steps​

Step 1: Sense​

Agent: climate

control-agent - Monitor temperature, humidity per room

Step 2: Detect​

Agent: occupancy

detector - Identify which rooms are occupied

Step 3: Learn​

Agent: smart

thermostat-optimizer - Build preference model from history

Step 4: Predict​

Agent: smart

thermostat-optimizer - Anticipate occupancy and weather changes

Step 5: Optimize​

Agent: climate

control-agent - Balance comfort targets with energy costs

Step 6: Adjust​

Agent: climate

control-agent - Set zone temperatures and fan speeds

Step 7: Refine​

Agent: smart

thermostat-optimizer - Update model based on manual adjustments

Usage​

To execute this workflow:

/workflow personal/productivity/climate-comfort-optimization.workflow

See other workflows in this category for related automation patterns.