Forecasting and synthetic data
Plan on tomorrow's energy, not last month's.
Most energy decisions are about the future, and the data never quite covers it. Gridform fills that gap: it rolls schemes forward, forecasts sites from the weather, and generates the data you are missing.
Scheme forecasts
Roll a whole scheme forward in one step.
Generate forward readings for every meter in a scheme. Then see expected flows, try out settlement settings on next month's energy, and spot problems before they reach an invoice.
Historical profile
Forecasts built from the typical range of each meter's recent readings.
Day-of-week profile
Keeps the weekly pattern, so Mondays look like Mondays.
Recent replay
Carries the last week forward, with optional variation so it behaves like real data.
Site forecasts
What will this site draw, and how sure are we?
A model for each site learns from its own readings, the weather and the calendar, and gives a forecast with a range. Re-run it under the weather of past years to see how a hot summer or cold winter would change the picture, before you buy cover.
Synthetic data
Start before the data does.
New sites and proposed assets have no history. Gridform lets you work with what you do have, so a project doesn't wait a year for data.
Fill the gaps
Generate synthetic readings to cover missing periods before a settlement run.
Model proposed solar
Turn a yield profile into generation for a system that isn't built yet.
Add new load
Layer a load profile onto a site for growth, such as an EV fleet.
Test with confidence
Use forecast and synthetic readings to try schemes and settings safely, and clear them whenever you like.
Weather built in
Bring in historical temperature and solar data for a site's location.
Plan on market signals
Use forward prices and AEMO pre-dispatch alongside your forecasts.