Simulate everything
Draw a territory, search a place, or describe it in plain English, and Grid Data Simulator (GDS) generates a complete synthetic utility — electric, gas, and water networks, customers, meters, and telemetry — then delivers it in your MDMS's own data model, the way the real estate would.
Map-driven
draw, search, or describe
Utility scale
whole territories, every meter
GDM-native
master data · history
Multi-commodity
electric · gas · water
Why simulate
Real utility data is scarce, sensitive, and slow to obtain. Grid Data Simulator builds a believable utility instead — premises on real addresses, assets on real roads, meters with their channels, partners, contracts, and service agreements — and delivers it to each system that expects it. Every scenario is reproducible exactly.
Draw territories, search a place or ZIP code, or describe the scenario in plain English and review the draft the AI assistant prepares. Premises land on real buildings and assets on real roads — urban, suburban, or rural density.
Master data delivered in the Grid Data Management Platform’s own data model, with every attribute dated and every change carrying its history.
Deliver record by record or per service point; target GDM or SAP, with profile sync for SAP; stamp every message with the source system a CI/CD pipeline expects.
Meter master data and reads to GDM, asset data and SCADA to Enhanced Analytics, commands to the MDMS — each delivered to the system that expects it.
AMI cohorts on staggered cadences with their own channels and lag; SCADA on its own clock; meters silent under outages. Historical backfills of any length.
Storms with realistic outages and restoration times; DER and EV adoption; VEE fault patterns with an answer key of expected findings; and dirty data on demand.
Change one record and publish exactly the transaction a CIS would send — meter exchange, move-out and move-in, attribute changes — each with the reads that follow, in a replayable history.
The full CIS → MDMS → HES round trip — disconnect, reconnect, on-demand read, power status, ping — with the simulator standing in for the CIS and head-end, and your MDMS in the middle.
How it works
Step 1
Draw a polygon, search a place, or describe the scenario in plain English and review the draft.
Step 2
Networks, premises, customers, contracts, meters, and channels are built — and every scenario can be reproduced exactly.
Step 3
Master data, reads, SCADA, lifecycle transactions, and commands go to each system that expects them, in the target system's own data model.
Step 4
Watch the MDMS ingest, validate, and act — with the Testing Platform verifying the results.
Use cases
Every rule fires on exactly the meters it should — the answer key says which.
Master data, profile sync, and reads in the exact data model.
Full-size meter populations, delivered at utility scale, before go-live.
Exchanges, move-ins, and storms with realistic restoration.
A real MDMS's disconnect, reconnect, and read flows — no head-end, no CIS.
Deployed by ControlPlane, stamped with each pipeline's source system.
Better together
Every family application shares one identity platform, one design system, one registration pattern, and one deployment path.
Receives master data and reads in its own data model.
Receives asset data and SCADA telemetry for its live picture.
Runs its suites against environments stamped with each pipeline's source system.
Hosts its shared infrastructure and registers it.
FAQ
Grid Data Simulator (GDS) builds a complete synthetic utility from a territory you draw, search, or describe in plain English — networks, premises, customers, contracts, meters, and telemetry — and delivers it to your systems the way a real utility would, so you can test without customer data.
Electric, gas, and water networks from substation to meter; premises and service points on real addresses; partners, contracts, and service agreements; meters and their channels; and interval, register, and SCADA telemetry.
Master data and reads in the Grid Data Management Platform's own data model, or to SAP with profile sync; asset master data and SCADA to Enhanced Analytics; and commands to your MDMS — each delivered to the system that expects it, in that system's own format.
Yes. It adds VEE fault patterns to chosen meters with an answer key of expected findings, so you know exactly which rules should fire, and it simulates storms with realistic outages and restoration times.
Yes. Every scenario can be reproduced exactly, so a test can be run again — before and after a change.
On a cluster or a single server, as a managed application alongside the rest of the Grid Data Family — installed and upgraded through ControlPlane and registered with the Grid Data Platform Manager.
A working demonstration takes thirty minutes — on our environment or yours, with realistic simulated data.
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