Map installed capacity
Aggregate connector-level rated power by geography, current type, site or operator.
FOR ENERGY & GRID TEAMS
Charging infrastructure data for energy planning
Build a clearer inventory of where charging equipment exists, what it can deliver and how the footprint changes.
Energy and grid studies need a reliable view of installed charging infrastructure before they can model demand scenarios or investment needs. Raw operator feeds make that inventory difficult because site, EVSE and connector concepts are often mixed together.
Data for EV separates those entities and normalizes connector power, current type, equipment and location attributes. Utilities and energy analysts can join the infrastructure layer with their own feeder, land-use, demand and network models.
DECISIONS
What this data helps your team decide
Identify infrastructure gaps
Compare charging footprint and hardware mix with population, roads, fleets or grid assets.
Track network expansion
Use historical and provenance fields to monitor how public charging inventory changes.
DATA MODEL
Fields relevant to this workflow
Every field remains attached to the station, EVSE, connector or tariff entity it describes.
- Location
- Coordinates, address, geography, access type and site context
- Electrical rating
- AC/DC current, voltage, amperage and connector-level power
- Equipment
- EVSE capabilities, connector standard and hardware metadata where available
- Time
- Observation, freshness, provenance and historical change records
WORKFLOW
How it fits into your product
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1
Inventory
Create a connector-level view of public charging equipment.
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2
Aggregate
Roll rated capacity up to station, area or planning-zone level.
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3
Join
Combine infrastructure with internal grid and demand datasets.
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4
Monitor
Refresh the inventory as stations and equipment change.
Evaluate the data for your workflow
Share your markets, required fields and delivery cadence. We will map the request to available coverage.
Request a data quote