Solutions · Climate and renewable energy AI

Renewable asset intelligence, grounded in physics.

Forecasting, storage performance and loss attribution for solar and storage assets, including the parts that work with no field hardware at all.

01 Capabilities

A technical discipline, not a values statement.

  • Solar resource and yield forecasting
  • Battery energy storage performance and state of health evaluation
  • Curtailment and spill attribution
  • Technical and non-technical loss separation
  • Weather and satellite intelligence requiring no site hardware
  • GIS and renewable asset monitoring
  • Measurement, reporting and verification support for climate reporting

A forecast is only a capability once it beats persistence on real data. A loss figure is only a number once conductor and transformer specifications exist. Until those inputs arrive, our systems report the gap rather than filling it.

02 What we have built

Delivered, built, and researched.

Deployed

Genu Community mini-grid design package

Full mini-grid design package, 220 kWp PV and 1,000 kWh LFP storage, for a Niger State project. An engineering deliverable, not a software system, and presented as such.

Built

Weather and satellite intelligence module

Within AditusOS: resource and weather intelligence for mini-grid sites that requires no hardware at the site itself.

Research

Battery storage performance evaluation

Research on battery energy storage performance evaluation in Northern Nigerian solar mini-grids.

Dispatch optimisation, emissions accounting, and measurement, reporting and verification are the capabilities this stack is built to carry. They are not yet delivered systems, and we will not describe them as delivered until they are.

Operating solar or storage assets and pricing the gaps in your data?