AI-driven HVAC energy management for multi-site commercial operators. GlacierGrid connects smart thermostats and controls to a cloud platform that optimizes HVAC runtimes, applies ASHRAE-based scheduling, shifts load away from peak tariffs, and runs automated demand response - cutting energy costs and demand charges across restaurants, retail, convenience stores, and schools while maintaining comfort.
HVAC is one of the largest and least-visible energy costs for multi-site operators, and manual thermostats, inconsistent schedules, and employee overrides quietly drive up utility bills and peak-demand charges. Facilities teams rarely have the tools to optimize HVAC runtime across many locations or to respond automatically to utility demand-response programs without hurting comfort.
GlacierGrid combines smart thermostats and controls with a cloud energy-management platform. The platform applies ASHRAE-based scheduling, analyzes weather and recent performance to optimize runtime, integrates energy-tariff data to shift load away from peak pricing, and autonomously curtails HVAC load during demand-response events - all within permission-based comfort limits and visible from one dashboard.
GlacierGrid smart thermostats act as the sensing and control point on each HVAC unit, measuring conditions and transmitting data over LoRaWAN to a site router that acts as the gateway, using Ethernet where Wi-Fi is unreliable. Data flows to the cloud, where machine-learning models build optimized schedules from business hours, weather, recent HVAC performance, and energy-tariff data. The platform then sends set-point and schedule commands back to the thermostats to optimize runtime, shift load away from peak windows, and curtail load during automated demand-response events, while operators monitor and override from the dashboard or mobile app.
Vendor documentation: link 1 · link 2 · link 3 · vendor website
Evidence level: L2 · Documented: how evidence levels work
Automates temperature set points around business hours and uses ASHRAE-based standards to stop equipment running when spaces are unoccupied.
Analyzes recent HVAC performance and weather to start units at the ideal time for comfort with the least energy.
Balances energy use across a facility to avoid peak tariff windows without sacrificing comfort.
Autonomously curtails HVAC load during utility demand-response events within configured comfort limits.
Manages set points, overrides, and HVAC health across every site from one dashboard or mobile app.
Tracks employee overrides, equipment health, and total kW and kWh load to surface waste and operational drift.
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