Use Cases
Use today's data. Solve tomorrow's problems.
PredictiveGrid turns the time-series data already streaming off your grid into a use-case factory. Solve the problems you have today, and build the answers to the ones the industry hasn't seen yet.
$-3.7M
Average ROI per use case, per year
-25+
Use cases shipped by a small team in the first year
-6 months
Cold start to three use cases, by one new hire
-2 day
From contract signed to streaming data
Turn today's problems into tomorrow's advantage.
PredictiveGrid lets your team solve the problems you have today with the data you already have. It also lets you solve the problems you don't have yet, years before the rest of the industry catches up.
01
Your data. Your solutions.
The data streaming from your grid is the raw material. No vendor abstractions. No industry-average models. The platform turns your real sensor reality into the answer to your real operational questions.
02
Weeks, not years.
A use case starts the moment an engineer has a question. It ships in days, refines in weeks, and runs in production for as long as it's useful. The unit of work is a sprint, not a capital project.
03
Ahead, and compounding.
Workflows. Trained models. Operating knowledge. Each use case stacks on the ones before it, so by the time the rest of the industry hits a new problem, your team has been iterating on variants for years.
Control your own destiny. Years ahead of the industry.
By the time the rest of the industry ships its first commercial tool, your team has already shipped solutions to the next 5 problems.
Compounding gap timeline. Your team ships six named use cases across five years with PredictiveGrid while the industry waits until year four for the first commercial product covering equivalent capability.
Problems our customers are already solving.
The menu, organized by the question your team is trying to answer. Every entry is a real use case built on customer data using the PredictiveGrid.
Diagnose what happened.
Post-Mortem Analysis
Engineering teams perform deep, ad hoc investigations on equipment failures, voltage anomalies, oscillation events, and operational incidents. Internal turnaround is typically 4 to 5 times faster than external vendor studies at a fraction of the cost.
Event Reporting
Triggered reports compile voltage magnitudes, frequencies, severity tables, geographic maps, and reactive and active power state across every affected sensor.
Lightning Strike Detection
Automated event reports identify lightning-induced disturbances across the entire PMU fleet.
Field Operations Support
On-demand historical context, sensor health, and event correlation that field operations can pull up while they work an incident.
Detect what is changing.
Oscillation Detection
Spectral analysis of high-resolution PMU streams surfaces oscillation events at any frequency band.
Anomaly Detection
Continuous baselining against modeled and observed signal envelopes. Anomalous deviations are flagged with context.
Fuse, Switch, Jumper Health
Subtle changes in current, voltage, or harmonic signature reveal aging fuses, contaminated switches, and loose jumpers long before they fail in service.
Effective Ground Monitoring
Ground impedance evaluation through ambient and event-triggered analysis.
System Imbalance Detection
Continuous monitoring of phase magnitudes and angles flags imbalance signatures that degrade asset life and operator visibility.
Validate what you believe.
Model Validation & Calibration
High-resolution measured response compared against simulated model output.
Dynamic Line Impedance
Calculated impedance from synchrophasor data informs dynamic line rating.
Line Transposition Evaluation
Empirical evaluation of line impedance balance across long transmission runs.
Filter Bank Design
Direct measurement of harmonic injection at planned interconnection points informs filter bank specification.
Topology Verification
Use measured electrical relationships between meters and devices to validate topology.
Prepare for what is coming.
Solar Plant Outage Reduction
Continuous performance monitoring of solar plants and other inverter-based resources surfaces dynamic behavior issues that precede unplanned outages.
STATCOM Onsite Testing
Live, onsite testing of STATCOM dynamic response.
Geomagnetically Induced Current
Monitor GIC signatures across the transmission network during geomagnetic disturbances.
Regulated Generator Testing
High-resolution measurement and analysis for regulated generator testing requirements.
Experiment faster.
Phase Identification
Phase assignment of every endpoint from AMI data.
ML Prototyping at Scale
Lower the cost of asking new questions.
Sensor Data Quality
Continuous evaluation of sensor health, drift, gaps, and signal integrity across every ingested stream.
Process Automation
Ship recurring engineering studies as scheduled, self-running jobs.
Data Foundation
Built for the sensors you have. Future-proof for the next decade.
The factory ingests the data already streaming off your grid, across modalities, sample rates, and historical depth.
PMU / Synchrophasor
30–240 Hz
Continuous waveform
High-resolution
AMI smart meters
Millions of endpoints
SCADA / PI exports
Legacy integration
AMI 2.0
Sub-second meter telemetry
COMTRADE files
Event records
DFR / fault recorders
Disturbance capture
Power quality
Harmonics and events
Relay logs
Protection events
µPMU
Distribution synchrophasors
DLR sensors
Dynamic line ratings
Weather
Environmental context
Acoustic / vibration
Asset condition
PDC streams
Aggregated wide-area
Distributed fiber
DAS / DTS sensing
DER telemetry
Solar, battery, EV
BMS data
Battery cell-level
EV charging endpoints
Session and load
IoT mesh / edge
Non-grid telemetry
Smart inverter telemetry
IEEE 1547 DER
Field Evidence
Stories from the field.
Four customer engagements, four kinds of value, all built on the same platform.
Major Transmission IOU
The Post-Mortem Engine
A 14 Hz mystery in Data Center Alley, solved in under a business day.
One engineer. Less than a day. Precursors visible for nearly a year.
On June 6, a sustained 14 Hz oscillation rippled across one of the densest data center load centers in the country. Using PredictiveGrid, a single engineer ran the post-mortem in less than one business day. The analysis pinpointed the source customer, explained why the oscillation dissipated, and traced precursor oscillations that had been growing, unseen, for nearly a year.
$328M
Estimated annual value of proactive mitigation at scale
Bring Us the Problem
Have a problem your current systems can't support?
Talk to an engineer. We'll help determine whether your data, the physics, and the business problem are a fit for PredictiveGrid.