# description
Input data model for a forecasting request. Includes target historical series, optional exogenous variables, location, and forecast configuration. Aligned with SAREF (saref:hasTimestamp, saref:hasValue) and UncertML for forecast type.

# properties.forecast_type.description
Desired forecast output type: deterministic (point) or stochastic (probabilistic).

# properties.time_parameters.description
Forecast horizon and time resolution parameters.

# properties.model_id.description
Unique identifier for this model instance.

# properties.target_series.description
The primary variable to be forecasted, including its historical values.

# properties.target_series.properties.series_id.description
Unique identifier for this series (e.g., 'solar_production_PV001').

# properties.target_series.properties.variable_name.description
Name of the variable to forecast (e.g., 'solar_production', 'load_consumption').

# properties.target_series.properties.asset_id.description
Identifier of the asset this series belongs to.

# properties.target_series.properties.asset_type.description
Type of the asset (e.g., 'PV', 'WindTurbine', 'Load').

# properties.target_series.properties.unit.description
Unit of measurement (e.g., 'kW', 'kWh').

# properties.target_series.properties.unitIri.description
QUDT URI for the unit (e.g., 'http://qudt.org/vocab/unit/KiloW').

# properties.target_series.properties.historical_values.description
Past observations of the target variable used as input for the forecast model.

# properties.location.description
Geographic location of the asset. Useful for weather-dependent forecasts (e.g., solar, wind). Aligned with WGS84 (https://www.w3.org/2003/01/geo/).

# properties.exogenous_series.description
Optional additional time series of external variables that may help the prediction (e.g., weather, prices, calendar features).

# properties.exogenous_series.items.properties.series_id.description
Unique identifier for this exogenous series.

# properties.exogenous_series.items.properties.variable_name.description
Name of the exogenous variable (e.g., 'irradiance', 'temperature', 'electricity_price', 'wind_speed').

# properties.exogenous_series.items.properties.source.description
Data source or provider (e.g., 'OpenMeteo', 'ENTSOE', 'local_sensor').

# properties.exogenous_series.items.properties.historical_values.description
Past observations of this exogenous variable.

# properties.exogenous_series.items.properties.future_values.description
Known or forecasted future values of this exogenous variable over the forecast horizon (e.g., weather forecast, scheduled prices).