Site behaviour
Measured and forecast site behaviour establishes when energy is available and when demand must be served.
Core technology
One optimisation engine, from project modelling to live operation.
Forecast, simulate and update energy strategies across Designer, Connect and enterprise API integrations.
Decision model
A decision starts with the site, not a generic trading rule.
Select an input group to inspect the information used before a simulated or operational plan is produced.
Commercial signals
Applicable tariffs, demand charges and agreed price signals define the commercial value of each operating choice.
Asset state
Battery state, connected equipment and available control capability keep the operating plan tied to the real system.
Objectives and constraints
Connection limits, backup reserve, cycling limits and user priorities define the permitted operating space.
Charge when electricity prices are low. Discharge when it matters.
AI reads price signals and site demand together, turning battery capacity into a deliberate energy-trading decision.
Keep the site below its limit.
Before the peak arrives, AI prepares storage to reduce grid demand without interrupting the energy your operation needs.
Adapt to changing export limits.
When export limits fall, the operating plan can direct eligible excess solar to the battery within its charging and site limits.
Make more of existing grid capacity.
AI coordinates EV charging and storage around existing capacity, helping commercial and industrial sites support new electric demand without automatically requiring costly infrastructure upgrades.
Coordinate power beyond the grid.
AI coordinates solar, battery storage and genset operation for off-grid commercial and industrial sites. PV and BESS supply site loads, with the genset providing additional power and charging the battery when needed.
Use more of the solar already on site.
AI uses solar forecasts to prioritise on-site loads when generation is high and reserve battery charge ahead of low-solar periods, so stored energy can cover the shortfall.
One engine, three delivery paths
Use the same optimisation logic before and after deployment.
Used in Designer
Optimise before the system is built.
Simulate system configurations, dispatch strategies and financial outcomes against the project assumptions.
Used in ConnectOptimise as conditions change.
Update forecasts and schedules, coordinate Gateway execution and verify the measured result.
Available through APIUse Ampaura optimisation inside your platform.
Keep your user experience and control path while adding Ampaura forecasting and optimisation services.
Explore more Ampaura products.
Build the operating system for your energy site from design through daily control.
AmpauraDesigner
Model system design, investment returns and payback before construction begins.
AmpauraConnect
Monitor, optimise and verify connected energy assets from one operational view.
