Intelligent Demand Optimization
AI-driven peak demand mitigation using patented queuing technology — reducing peak demand 10–25% with no operational impact through BTM implementation and zero capital expenditure.
Protected by US Patent # 8219258B1 and US Patent # 12222687B2
10–25%
Average Demand Reduction
3–5%
Average Energy Reduction
BTM
No Operational Impact
$0
Capital Expenditure Required
The Problem
Demand Charges Are Your Largest Hidden Energy Cost
Peak demand charges account for 30–50% of commercial electricity bills. Yet most facilities have no mechanism to control them. HVAC systems, lighting, and other equipment all start simultaneously — creating demand spikes that utilities charge for on every subsequent bill, often for 12 months.
Traditional solutions sacrifice occupant comfort by simply shutting equipment off during peak windows. This creates temperature swings, complaints from staff and customers, and operational disruptions that far outweigh any energy savings achieved.
The result: facilities pay tens or hundreds of thousands of dollars annually in demand charges they cannot reduce — without accepting unacceptable comfort tradeoffs.
The Cost of Coincident Peaks
The Solution
A Traffic Management System for Your Building's Electrical Loads
DemandQ's patented Intelligent Demand Optimization uses AI-driven queuing technology to coordinate when equipment operates. Like a traffic signal that prevents intersection gridlock, IDO prevents simultaneous load operation that drives costly demand peaks — all with no operational impact through behind-the-meter implementation.
Patented Queuing Engine
The core IDO algorithm (US Patent #8219258B1) optimally sequences load operations, systematically eliminating coincident peaks across all connected equipment.
No Deviations from Target Zone Temperature
Unlike setback strategies, IDO never alters your target zone temperature. Equipment runs at full capacity — just in a coordinated sequence that prevents simultaneous demand spikes.
Continuous Self-Learning
IDO's AI models continuously update based on observed thermal performance, occupancy, and weather. Savings improve over time as the system learns each building's unique characteristics.
How It Works
Five Steps to Continuous Demand Savings
- 01
Continuous Load Monitoring
IDO monitors every controlled load in real time — HVAC units, lighting, refrigeration — measuring actual demand at the meter.
- 02
AI Demand Forecasting
A machine learning model forecasts upcoming demand peaks based on current load trajectories, occupancy schedules, weather data, and historical patterns.
- 03
Intelligent Queue Assignment
When a peak is projected, the patented queuing algorithm staggers equipment start times across a defined window. Loads that would have run simultaneously are spread across minutes, eliminating the coincident spike.
- 04
Comfort Verification
At every step, zone temperatures are verified against setpoints. If any zone approaches its comfort threshold, that unit is immediately restored to priority operation.
- 05
Verified Savings Reporting
Monthly IPMVP-compliant reports quantify demand reductions in kW, energy savings in kWh, cost savings in dollars, and CO₂ reductions in metric tons.
Key Benefits
Why Facilities Choose IDO
Zero Capital Expenditure
IDO is a SaaS overlay on your existing building automation system. No new hardware. No retrofit costs. Savings begin immediately.
No Operational Impact
IDO operates behind the meter (BTM), optimizing when equipment runs — not whether it runs. No changes to building operations or occupant experience.
AI-Driven Optimization
Machine learning-based demand forecasting and predictive models continuously learn your building's thermal characteristics and load patterns.
IPMVP-Compliant M&V
Every kW and kWh of savings is measured and verified using the International Performance Measurement & Verification Protocol (IPMVP Option C). Transparent, auditable, bankable results.
Cloud or On-Premises
Deploy IDO as a fully managed cloud service or run it entirely within your network. Your infrastructure requirements, your choice.
Rapid Deployment
Full integration in as little as one month. DemandQ connects to your existing BAS via BACnet, JACE, or EZConnect — no new cabling required.
Verified Results
Real-World Performance Across Thousands of Sites
National Retail Chain
600+ locations
$4M+
Total Verified Savings
10%
Average Demand Reduction
175,000+
kW Mitigated
IPMVP Option C verified savings across a multi-year engagement.
National Retail Portfolio
400+ sites
$3.1M
Total Savings
8.2%
Demand Reduction
17%
HVAC Demand Reduction
4% kWh reduction alongside demand savings with zero operational disruption.
All savings independently measured and verified per IPMVP Option C methodology. Customer names withheld per confidentiality agreements.
Proprietary Technology You Can Trust
DemandQ's queuing methodology is protected by US patents and additional pending patents — representing over 12 years of refinement across real-world commercial deployments.
US Patent # 8219258B1 — Queuing Access to a Shared Power Supply|US Patent # 12222687B2 — Controlling Power Distribution Serving an Aggregate of Electrical Loads
From Contract to Active Savings
Deployment Timeline
IDO is designed for rapid, low-friction deployment. Most facilities reach full optimization in under four weeks — with no on-site visits required for most integrations.
- Week 1–2
Discovery & Assessment
DemandQ models your infrastructure, verifies protocol compatibility, and maps controllable load points. No on-site visit required for most deployments.
- Week 2–3
Integration & Configuration
EZConnect toolkit or direct BACnet integration is configured. IDO algorithms are calibrated to your building's thermal characteristics, load profiles, and utility rate structure.
- Week 3–4
Pilot & Validation
IDO operates in monitoring mode, then active optimization on a subset of sites. Day-on/day-off testing validates savings against IPMVP Option C baselines.
- Week 4+
Full Deployment & Ongoing Optimization
Once validated, IDO is activated across your full portfolio. AI models continuously improve as they learn seasonal patterns and building behavior.
Pre-Deployment
Requirements Checklist
- Any BAS with open protocol
- Real-time meter data access (15-minute intervals or better)
- HVAC systems controllable through the BAS
- Network connectivity for cloud deployment (or on-premises server for local deployment)
- Brief staff orientation (~2 hours)
Most commercial facilities with modern BAS infrastructure meet all requirements immediately. DemandQ's onboarding team will confirm compatibility during the initial discovery phase at no cost.
Why DemandQ?
How DemandQ Compares
See how IDO stacks up against conventional demand management approaches across the dimensions that matter most to facilities decision-makers.
| Dimension | Traditional Approaches | DemandQ IDO |
|---|---|---|
| Capital Cost | Hardware + installation costs | Zero CapEx — SaaS overlay on existing BAS |
| Operational Impact | Setpoint adjustments affect occupants | None — BTM implementation with no operational disruption |
| Deployment Time | Months of hardware installation | As little as 4 weeks |
| Savings Verification | Self-reported estimates | IPMVP-compliant, independently verified |
| Technology | Static schedules / manual overrides | AI-driven, patented queuing technology |
| Integration | Proprietary hardware lock-in | Works with existing BAS (BACnet, Modbus, Niagara) |
Capital Cost
Traditional Approaches
Hardware + installation costsDemandQ IDO
Zero CapEx — SaaS overlay on existing BASOperational Impact
Traditional Approaches
Setpoint adjustments affect occupantsDemandQ IDO
None — BTM implementation with no operational disruptionDeployment Time
Traditional Approaches
Months of hardware installationDemandQ IDO
As little as 4 weeksSavings Verification
Traditional Approaches
Self-reported estimatesDemandQ IDO
IPMVP-compliant, independently verifiedTechnology
Traditional Approaches
Static schedules / manual overridesDemandQ IDO
AI-driven, patented queuing technologyIntegration
Traditional Approaches
Proprietary hardware lock-inDemandQ IDO
Works with existing BAS (BACnet, Modbus, Niagara)Comparisons reflect typical characteristics of non-AI, hardware-dependent demand management systems. Individual results may vary based on facility profile and utility rate structure.
Complete Your Strategy
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Ready to Reduce Your Energy Costs?
Request a free assessment. Our team will quantify your demand savings opportunity across your portfolio and design a deployment plan with no capital expenditure required.