Smart Control Project Documentation

Welcome to the documentation for the Smart Control project.

Overview

The Smart Control project is a reinforcement learning (RL) environment designed for controlling building HVAC (Heating, Ventilation, and Air Conditioning) systems to optimize energy efficiency, cost, and occupant comfort.

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Table of contents

• Environment Module
• Simulation Components
• Reward Functions
• Learning Algorithms
• Configuration
• System Interaction and Architecture
• Metrics Interpretation
• Contributing to the Project
• Best Practices
• Reinforcement Learning Module
• Additional Resources
• Tutorials
• Glossary