Build a solar-production forecast
How much solar output should we plan for?
The finished answer: An equipment-aware power estimate driven by weather inputs.
Weather ingredients
These catalog parameters are part of the recipe. Dataset products such as warning geometry or gauge stage are linked below too.
Incoming radiation; keep the interval and unit definition.
Definition, units and delivery references →Total Cloud Cover PercentageCloud context, not a substitute for irradiance.
Definition, units and delivery references →TemperatureInput to an equipment-specific performance calculation.
Definition, units and delivery references →Ingredients you bring
- Panel capacity, orientation and tilt
- Inverter characteristics and performance model
- Losses, shading and actual output for validation
These are not supplied automatically by a weather API.
The method
- Choose irradiance and temperature data with the required time horizon.
- Align weather intervals with the equipment model.
- Apply orientation, efficiency and loss calculations.
- Validate the resulting power estimate against actual output.
Enterprise variables feed the calculation. GIS organizes the sites and visualizes the result.
Enterprise
Use documented forecast/historical irradiance fields in a custom energy model.
GIS or a hybrid
Show modeled site output on your asset map; use imagery for context, not as a numeric irradiance substitute.
Explore the actual dataset inputs
Open a product to inspect its guide or run its connected example. These demonstrate the ingredient—not a completed implementation of this recipe.