Energy Optimization With DeepCtrls
AI-Powered Energy Optimization Platform for Smart Buildings & Industrial Facilities
Save 10–40% on your energy bills using DeepCtrl’s next-generation energy optimization solution. Powered by PhyAI™ and the DeepSys™ ecosystem, our platform enables real-time optimization across HVAC, CDA, and mission-critical energy systems — with zero equipment overhaul required.
Why Choose DeepCtrl’s Energy Optimization Platform?
Real-time energy analytics powered by advanced physics-based AI (PhyAI™)
Predictive control modeling with <3% Root Mean Square Error
Plug-and-play deployment (installation in just 1–2 days)
Zero disruption to your existing infrastructure
Supports compliance for ESG and carbon reduction goals
Where It Works
Optimize energy efficiency across:
- HVAC systems in factories, data centers, and hospitals
- CDA (Compressed Dry Air) systems in semiconductor fabs
- PV-coupled energy grids with load balancing and storage
- Chiller plants, CRAC units, and air handling units
- Energy-intensive equipment with high maintenance loads
How the Platform Works
(EV Charger Park Example)
Step 1
DeepBox edge computing device captures real-time facility data
Step 2
DeepLogic builds a physics-informed digital twin
Step 3
DeepSight enables drag-and-drop system configuration
Step 4
“One-Switch Validation” confirms savings in <10 minutes
Step 5
Full deployment is rolled out via DeepOS and DeepReport
Real Case Study
Public Case Study: Foxconn (36 Manufacturing Sites)
Foxconn implemented DeepCtrl’s DeepSys-HVAC and DeepSys-CDA across 36 sites for real-time system-level optimization. This included smart adjustments to CDA pressure, HVAC water flows, and terminal equipment logic.
Results:
• 💡 50+ million kWh saved annually
• ⏱ 70% efficiency gain in facility energy management
• ⚙️ Zero change to plant layout or production systems
Source:
DeepCtrl Project Showcase (PDF)
Other Proven Deployments
CATL
17 sites, Chiller & dehumidifier optimization
BOE
16 bases, >8% HVAC savings
Canadian Solar
25% total energy reduction
China Unicom
36 data centers, 17%+ reduction
Metro stations & hospitals
20–40% average HVAC savings
Core Features of DeepSys™ & DeepOS™
-
DeepBox
Edge AI controller for data capture and actuation -
DeepLogic
System-level modeling engine for real-time prediction -
DeepSight
Low-code interface for control logic configuration -
DeepReport
Automated reporting for ESG, carbon & energy KPIs -
DeepOS
Unified operational dashboard with alerting & lifecycle analytics
SEO Keyword Cluster Used:
- Energy optimization platform
- HVAC energy savings
- AI-powered energy management
- Industrial energy reduction
- ESG energy solution
- DeepCtrl DeepOS
- Predictive maintenance energy AI
- PhyAI energy optimization