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AI Grid Intelligence

Predict feeder load 4 hours out. Dispatch before the spike hits.

Ampgrove reads your grid feeder by feeder, forecasts load at 30-minute granularity, and surfaces dispatch recommendations so operators stop over-provisioning for a peak that never comes and catch the overload before it trips a substation.

S1 S2 S3 F1 F2 F3 ALERT F2: 94.1%
The Problem

Utilities over-provision by default because they can't see 4 hours ahead at the feeder level.

When load forecasting runs at the substation level and looks only 24 hours out, operators carry extra capacity they don't need to avoid the outage they can't predict. Ampgrove changes the resolution.

18-28% Typical peak-period capacity reserve beyond actual demand
$180K+ Estimated annual capacity reservation cost per utility that feeder-level forecasting can reduce
4 hrs The actionable dispatch window operators need to respond before a substation trips
Platform

Three capabilities. One grid-aware system.

Ampgrove integrates with your existing SCADA and EMS infrastructure and adds the feeder-level intelligence layer that legacy systems were never designed to provide.

Feeder Load Forecasting

30-minute resolution forecasts across every feeder in your network, updated continuously with real-time sensor data, weather inputs, and historical load patterns. 4-hour horizon gives operators actionable lead time.

Automated Dispatch Recommendations

When a feeder approaches threshold, Ampgrove surfaces a specific dispatch recommendation: what to shift, by how much, and which resources to activate. Operators review and approve. The decision stays with the team.

Real-Time Alerting

Threshold-based alerts tuned per feeder, not site-wide. Configurable escalation paths (email, SMS, paging). Alert logic is transparent: each notification shows the forecast confidence and the underlying sensor reading.

How It Works

From raw SCADA data to a dispatch recommendation in under 3 minutes.

1

Connect Data Sources

Ampgrove reads from your SCADA or EMS via standard connectors. Interval data, weather feeds, and historical load archives ingest automatically. Setup takes days, not months.

2

Generate Feeder Forecast

Machine learning models trained on your own historical intervals produce a rolling 4-hour load forecast per feeder, updated every 30 minutes. Weather-corrected and continuously retraining.

3

Surface Dispatch Recommendation

When a feeder's forecast crosses a configured threshold, a dispatch recommendation surfaces with supporting context: load trend, available resources, estimated margin. Operators approve and act.

Pilot Results

Numbers from early-access utility partners.

Based on combined internal data from 3 early-access utility partners across a 90-day pilot deployment. Figures are estimates and vary by grid topology, feeder count, and operational context.

94% Feeder load forecast accuracy at the 4-hour horizon Internal pilot data, 3 partner utilities, 90-day beta
32% Reduction in peak-period over-provisioning reserves during pilots Based on pilot partner operational reports
~$180K Estimated annual savings per utility in capacity reservation costs Pilot estimates; varies by utility size and feeder count
< 3 min Data-to-recommendation latency from SCADA read to dispatch suggestion Measured at pilot partner sites under normal load conditions
Early Access

From grid operators who ran the 90-day pilot.

"We've been carrying a 22% reserve on our peak feeders for years because we couldn't trust the 24-hour forecast at the feeder level. During the pilot configuration, we got down to 14% without a single tripped substation. That's a real number that moves in our planning meetings."
Load Planning Engineer at a mid-sized Western investor-owned utility, from our early-access program
"The thing that convinced me was the alert design. Instead of a threshold alarm going off and not knowing if it's real, we get a recommendation with the load trend and the confidence score. Operators stopped ignoring alerts because each one means something specific now."
Grid Operations Supervisor at a regional municipal electric cooperative, during a 90-day pilot configuration
Integrations

Plugs into your existing grid stack.

Ampgrove connects to the SCADA, EMS, and data platforms your operations team already runs. No forklift replacements. Standard connectors, documented API, and field-tested data normalization.

GridSense SCADA SCADA Platform
NovaStar EMS EMS Platform
WeatherSync API Weather Data
ClearPath DMS Distribution Mgmt
View all integrations

See Ampgrove on your grid.

We configure a pilot for your feeder topology in 2 weeks. No upfront commitment.

Questions first? Email us at [email protected]