Smart meter data with a real evening peak.

Generate interval meter readings, tariffs and premises where usage follows the time of day, solar export fades at sunset and every cost matches its rate.

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The example

One home's evening, in 15-minute intervals

What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.

Import climbs into the evening peak while solar export fades to zero after sunset.
Voltage sags slightly as household load rises, like a real low-voltage feeder.
The peak flag and rate switch together at 17:00 under the time-of-use tariff.
cost is exactly import_kwh × rate on every interval.

Built for Energy & Utilities teams

Interval data

15-minute, hourly or daily readings per meter, following the real calendar.

Tariffs that apply

Flat, tiered and time-of-use tariffs with peak flags and costs calculated.

Solar and EVs

Export profiles that follow daylight and charging loads that follow tariffs.

Grid context

Premises, feeders and transformers linked to every meter.

How it works

From idea to dataset in three steps

Describe or upload

Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.

Review the plan

Check the tables, columns and rules the AI proposes, and adjust anything you like.

Generate and download

Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.

Questions

Can I generate a year of data per meter?

Yes, within your plan's records; split very large sets across datasets.

Can I include outages?

Yes. Add outage events and readings drop to zero for those intervals.

Can I model gas or water meters?

Yes. Describe the meter type and units and readings follow them.