Utilities

Live answers for a grid under pressure

Planning questions pile up faster than specialist tools can answer them. Analyze your network live in your own cloud data warehouse, and share the answers as maps and AI Agents.

CARTO AI Agent answering what happens if a Houston substation fails, with a chart of neighboring substation load beside a map of substations and their service areas

One set of numbers

Asset registers, outage logs and customer records live in different systems, and they rarely agree. Join them in your warehouse, and every team works from the same numbers.

Predict & simulate the next outage

Reliability reviews arrive after customers lose power. Simulate any substation failing, and know who is affected before it happens.

Find room to grow

EV chargers, rooftop solar and heat pumps land unevenly, and the network feels them first. Put upgrades where they pay off, with precision and scale.

Trusted by the world's leading organizations

Iberdrola Sistema.bio ZapMap BT

How it works

Grid analysis where your data already lives

Network, asset and customer data is sensitive, and every copy adds risk. CARTO runs inside your cloud data warehouse, so nothing is exported and your existing access controls still apply.
Every new view of the network can take weeks. Create maps, apps and workflows in CARTO, or describe them to an agent with CARTO for Agents and refine them in plain language.
Planners, operations and executives all ask different questions, and the same few analysts answer them. Publish a map or an AI Agent they can ask directly, like what happens if a substation fails, or where the best solar farm potential lies.

Where utilities teams use CARTO

Utility planning, from outage resilience to renewable growth, all in your warehouse.

Grid Resilience

Reliability reviews look backward, so the next failure still arrives as a surprise.

Simulate losing any substation, see which neighbors can take the load and who stays without power, and ask an AI Agent what backup would change.

Explore map
CARTO AI Agent explaining how many customers lose power if a Houston substation fails for four hours, with neighboring substation utilization before and after

Renewable Site Screening

Siting a wind or solar farm means checking the grid, land and constraints across a huge amount of layers.

Screen whole regions in your warehouse, rank candidate sites on evidence, and share the shortlist as a map.

Read the wind turbine guide
CARTO AI Agent charting the largest optimal wind development zones in Montana, beside an H3 map of candidate sites with a popup comparing suitability, wind speed and area

EV & Solar Growth

EV chargers and rooftop solar do not arrive evenly, so the network feels them before the plan does.

Find where demand is most likely to land and where the network has room, then target campaigns and upgrades there.

Read ZapMap's story
CARTO AI Agent ranking the strongest solar markets in England by postcode district, beside a map scoring areas on income, market headroom and solar resource

Field Crews

Static territories overload some crews while others wait.

Balance territories on workload and travel time, test what a base closure would do to coverage, and brief teams each morning on where to go first.

Learn more about Territory Planning
CARTO AI Agent showing that losing one crew base leaves 8,563 jobs beyond a 45-minute drive, beside a map of balanced field territories around Nashville with jobs and staff coverage widgets

Water Networks

Overflows, leaks and inspections sit in separate systems, so problems surface after customers call.

Map network assets, prioritize inspections and tell customers about overflows early, all on one live view.

Watch webinar
Map of storm drains over a flood zone, with a popup ranking one drain as critical priority on flood risk, condition and months since inspection
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Frequently asked questions

Can I analyze the network data I already have?

Yes. CARTO works with data in BigQuery, Snowflake, Redshift, Databricks or Oracle, so records such as assets, outage logs and customer data can be analyzed together without copying them into a separate tool.

How can utilities plan for EV charging and solar with spatial data?

Enrich your network and customer data with demographic, housing and mobility data, then use geosegmentation to group neighborhoods by likely adoption, demand forecasting to project where load will land, and hotspot analysis to find where chargers or panels are clustering. Combine the results with network capacity and existing chargers to rank locations, and build it as a Workflow that re-scores as new data arrives, so the plan stays current.

What is an AI Agent on a map, and how can it help with utility planning?

A conversational assistant inside a CARTO map or app. Planners, operators and executives ask in plain language, such as which substations are closest to their limit or what happens if one fails, and it answers from the map's data, widgets and tools your team sets up, with charts and map actions such as zooming to the affected area. Explore AI Agents.

How do electric utilities use GIS?

Utilities map assets, customers, outages and constraints to plan the grid, respond to faults and decide where to invest. CARTO is the spatial analysis platform for that work: build maps, workflows, apps and AI Agents directly in your cloud data warehouse to assess reliability, forecast demand, screen renewable sites and prioritize field work, with nothing copied or exported.

What is utility GIS software, and how is it used in utility management?

Utility GIS is mapping and spatial analysis for networks of assets such as lines, substations, pipes and meters. It supports planning, maintenance and customer decisions. CARTO lets you run it live on your warehouse and share the results as maps and AI Agents.

Contour map of the Galápagos Islands

Be ready for the next surge

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