Welcome to Smart Cool Tech Documentation
Smart Cool Tech is an AI-powered chiller plant optimization platform that delivers 10%+ energy savings through intelligent sequencing and real-time control.
Quick Links
- Getting Started - What you need to provide
- How It Works - Core technologies and algorithms
- FAQ - Frequently asked questions
What is Smart Cool Tech?
Smart Cool Tech combines advanced AI algorithms to minimize chiller plant energy consumption:
- Bayesian Neural Networks - Probabilistic COP prediction with uncertainty quantification
- XGBoost Forecasting - Accurate cooling load prediction
- Dynamic Programming - Optimal sequencing in seconds
- Online Bias Correction - Continuous adaptation without retraining
Key Benefits
| Benefit | Description |
|---|---|
| 10%+ Energy Savings | Validated in real deployments |
| Rapid Deployment | < 1 week from start to operation |
| Zero Capital Cost | Pure software, no hardware upgrades |
| Proven Technology | Peer-reviewed research, field-tested |
Getting Started
Ready to optimize your chiller plant?
- Prepare your information - See Getting Started Guide
- Contact us - Email: [email protected]
- System survey - We assess your equipment (Day 1-2)
- Model training - Train AI models on your data (Day 3-4)
- Deployment - Go live with dashboard (Day 5-7)
< 1 week from initial contact to full operation
Support
📧 Email: [email protected]
⏰ Response: 1-2 business days
🌐 Dashboard: Access Here
Research Publications
Smart Cool Tech is built on peer-reviewed research:
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Li, Shuhao, Siqi Li, and Zhe Wang. "Accelerating chiller sequencing using dynamic programming." Energy and Buildings 325 (2024): 115037.
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Li, Shuhao, et al. "Field demonstration of model predictive control for chiller sequencing in large-scale commercial buildings." Energy and Buildings (2025): 116021.
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Li, Shuhao, et al. "Applying semantic model for easy and fast deployment of chiller sequencing algorithm." Energy and Buildings (2025): 116830.