See tomorrow's peak before it hits your bill.
GridVolt monitors every meter across your portfolio, forecasts demand 24–72 hours ahead and recommends load shifts that keep you under demand-charge thresholds — without touching occupant comfort.
- Science Hall742
- Data Center610
- Residence A604
- Library518
- Rec Center466
- Admin North420
Recommendation: pre-cool Science Hall and Library 04:00–06:00 tomorrow. Forecast peak drops ~180 kW and stays under the threshold. Awaiting approval
peak demand in the first billing cycle on one pilot campus
waste alerts reviewed by facilities in the first 30 days
forecast window, built from load history, weather and schedules
Illustrative sample metrics from pilot workspaces — not audited results. Your results depend on your buildings, tariffs and equipment.
A monthly utility bill can't tell you which fifteen minutes cost the most.
Demand charges are set by short peaks, and after-hours waste hides inside totals. Most facility teams only find out a month later.
- Peaks discovered after the bill arrives
- HVAC left running in unoccupied zones goes unnoticed
- Carbon reports rebuilt from spreadsheets every quarter
Minute-level load for every building, a forecast of the next peak, and a recommended action before it happens.
- Alerts on loads running outside their expected profile
- Forecast peaks compared against your tariff thresholds
- Load shifts that respect comfort guardrails
- Emissions reports from the same metered data
Five capabilities, one energy model.
Monitoring feeds the forecast, the forecast drives load shifting, and the same metered data powers your carbon reports.
Platform details- 01
Real-time consumption monitoring
Building · floor · circuitIngest smart meters, BMS feeds and IoT sensors, then see load at building, floor and circuit level with sub-minute resolution.
- 02
Demand forecasting
24–72h aheadModels trained on your load history, weather, occupancy schedules and rate structures predict demand 24–72 hours ahead, so peaks are visible before they happen.
- 03
Load-shifting automation
Advisory or automatedMove flexible loads — HVAC pre-cooling, EV charging, battery dispatch — into off-peak windows. Every action respects the comfort guardrails you set.
- 04
Waste pattern detection
Ranked by $ impactFlags after-hours HVAC, phantom loads and drifting equipment efficiency, with root-cause context and an estimated cost so the biggest issues go first.
- 05
Carbon & sustainability reporting
Metered, not estimatedScope 1 and 2 emissions tied to metered consumption, with reports aligned to GHG Protocol and ENERGY STAR Portfolio Manager.
From meter feeds to a scheduled load shift.
- STEP 01
Connect your meters
Integrate smart meters, BMS feeds and IoT sensors via API, MQTT or BACnet. GridVolt discovers assets and maps your energy topology.
- STEP 02
Baseline & forecast
GridVolt builds a load profile for each building and trains forecasting models on your history, weather feeds and occupancy schedules.
- STEP 03
Optimize & automate
Review recommended load shifts, or — with your approval — let GridVolt execute them through your BMS and control integrations.
- BACnet
- Modbus
- LonWorks
- MQTT
- Utility data feeds
- REST API
- CSV import
Priced by meter points.
Start with one building. Annual billing includes two months free.
Operations
For single-site facility teams managing one building or campus
- Up to 50 meter points
- Real-time consumption dashboard
- AI demand forecasting
- Waste pattern alerts
Command Center
Most popularFor multi-building portfolios that need automation and deeper analytics
- Up to 500 meter points
- Automated load-shifting engine
- BMS / BACnet control integration
- Portfolio benchmarking
Enterprise
For large campus operators and energy service companies at scale
- Unlimited meter points
- Multi-campus management
- Custom ML model training
- Demand response program integration
Put your own buildings on the curve.
Request a demo and we'll walk through your meter setup, tariff structure and where GridVolt would look for savings first.