AI-Powered Chiller Plant Optimization

Next-Generation AI Optimization for Maximum Energy Efficiency

Intelligent Load Forecasting
PRECISION OBSERVER
Accurately predicts future cooling demand with AI, eliminating energy waste from over-cooling.
Reliable Chiller Modeling
PHYSICS-GUIDED AI
Combines deep learning with physical laws to ensure 100% operational safety and realistic control.
Efficient Optimization
GLOBAL OPTIMIZATION
Calculates the mathematically optimal control strategy in seconds, balancing efficiency with health.
Continuous Adaptation
SELF-EVOLVING SYSTEM
System automatically evolves with operational data, adapting to equipment aging & seasonal shifts.
Rapid Deployment
PLUG & PLAY
Standardized semantic models allow for seamless integration with BMS, reducing deployment time by 80%.
LLM Assistant
INTELLIGENT CO-PILOT
Your 24/7 AI energy expert. Chat with your building's data.
LOG IN
Scroll to explore

"Optimization isn't just about logic.
It's about conversation."

LLM Assistant

Talk to Your Data.

Forget complex query languages. Our LLM Assistant enables facility managers to interact with building data using natural language. Ask "Why was the power consumption high yesterday?" and get instant, data-backed answers.

Why was the chiller COP so low yesterday at 6 PM?
Chiller-01, 03, 06 operated at 55% PLR due to decreasing cooling demand. COP dropped to 4.2 (vs. avg 5.1). Suggest turn off Chiller-03, as Chiller-01 and 06 has higher efficiency at low PLR.
Autonomous Control

Bayesian Intelligence.

Our optimization engine uses Bayesian Neural Networks to predict COP with uncertainty quantification. It doesn't just guess; it knows what it doesn't know, ensuring safe and optimal control 24/7.

Real-Time Analytics

See The Invisible.

Monitor your plant's performance in real-time with our high-frequency InfluxDB backend. Detect anomalies before they become failures and visualize energy savings as they happen.

5.2 COP
78% PLR
12°C CHWS
Machine Learning

Open Chiller Model Training

Train your own high-accuracy chiller models through a clear 5-stage workflow. Upload data, validate quality, choose a model family, and receive portable artifacts with metrics and visuals.

1
Data Upload
Upload historical operational data in CSV or Excel format.
2
Data Validation
Run schema checks, quality scoring, and physics constraints.
Score >= 70%
3
Model Config
Select model type for a fast basic run or deeper tuning.
4
Model Training
Train using integrated model families with controlled compute.
MAPE <= target
5
Results Delivery
Download artifact files, metrics reports, and charts.
Start Open Model Training
Proven Performance

Numbers That Matter.

Our AI-powered optimization engine demonstrates proven efficacy in live deployments. The solution delivers statistically significant performance improvements, translating into measurable financial gains and a strengthened competitive position.

0% Energy Savings

Typical reduction in chiller plant energy consumption

0/7 Autonomous Operation

Continuous optimization without human intervention

0s Decision Latency

Real-time control response for dynamic conditions

Product Demonstration

See It In Action

Watch our AI-powered optimization system reduce energy costs in real-world operations

Loading video...

Slow connection? Open video in new tab

Ready for the future?

Start Optimizing Now
AI-Powered Chiller Plant Optimization  •  © 2025 Smart Cool Tech