Parameter which interpolates a daily profile using a radial basis function (RBF).
The daily profile is computed during model reset using a radial basis function with day-of-year as the independent variables. The days of the year are defined by the user alongside the values to use on each of those days for the interpolation. The first day of the years should always be one, and its value is repeated as the 366th value. In addition the second and penultimate values are mirrored to encourage a consistent gradient to appear across the boundary. The RBF calculations are undertaken using the scipy.interpolate.Rbf object, please refer to Scipy’s documentation for more information. API Reference
days_of_year
The days of the year at which the interpolation values are defined. The first value should be one
Yes
values
Values to use for interpolation corresponding to the days_of_year
Yes
lower_bounds
The lower bounds of the values when used during optimisation
Yes
upper_bounds
The upper bounds of the values when used during optimisation
Yes
variable_days_of_year_range
The maximum bounds (positive or negative) for the days of year during optimisation. A non-zero value will cause the days of the year values to be exposed as integer variables (except the first value which remains at day 1). This value is bounds on those variables as maximum shift from the given days_of_year
Yes
min_value, max_value
Optionally cap the interpolated daily profile to a minimum and/or maximum value. The default values are negative and positive infinity for minimum and maximum respectively
Yes
rbf_kwargs
Optional dictionary of keyword arguments to base to the Rbf object
Optional
coming soon...