Asset Forecasting · Your plants

Forecast the output of every solar plant individually.

Asset Forecasting models each PV plant as its own forecasting problem, helping operators and traders understand expected production, operational deviations and plant-level market exposure.

01

What is being forecast?

An individual solar plant.

02

Who uses it?

Operators, asset managers and plant-level trading teams.

03

What decision does it support?

Plant operations, nominations and plant-level imbalance management.

Built around asset decisions

Forecast your plants on their own terms.

Asset Forecasting can cover one farm or many. Each plant keeps its own location, configuration and production behaviour, while GraphSight’s graph neural networks learn from related sources such as nearby farms, weather systems and spatial production patterns to improve each forecast.

From source data to a plant-level power forecast
WeatherPast productionContextGNN modelPower forecastMWTime

Service tiers

Start standard or tailor the model to the plant.

Choose the defined service or adapt the model to the information and decisions specific to your plants.

01

Standard

A defined forecast scope and delivery setup.

02

Tailored

A model adapted to your data, geography, forecast horizons and evaluation criteria.

Onboarding inputs

  • Asset coordinates and capacity
  • Plant information (tilt, tracking module, etc.)
Additional inputs for Tailored
  • Historical production data
  • Availability and curtailment schedules
  • Live measurements

Turn plant data into a forecast built for action.

Define your assets, horizons and preferred service tier, and we’ll shape the right forecasting setup.

Request a quote

Your meter data is the relevant benchmark.

Try GraphSight against actual production and the reference forecast you use today, or request pricing for an asset service.