pywr.parameters.WeightedAverageProfileParameter

class pywr.parameters.WeightedAverageProfileParameter(model, storages, profiles, **kwargs)

Generates a weighted average daily profile from pairs of storage nodes and profile parameters.

The contribution on each profile is weighted using the volume of the paired storage node. For efficiency, the profile values are calculated in the reset method, though this limits the type of parameters that can be given as input profiles.

Parameters:

storages: iterable of storage nodes. Length should equal to the length of

profiles parameter.

profiles: iterable of profile parameters. These can be either a

ConstantParameter, DailyProfileParameter, or MonthlyProfileParameter. Length should equal to the length of storages parameter.

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
after(self)
before(self)
finish(self)
get_all_values(self)
get_constant_value(self)	Return a constant value.
get_daily_values(self)
get_double_lower_bounds(self)
get_double_upper_bounds(self)
get_double_variables(self)
get_integer_lower_bounds(self)
get_integer_upper_bounds(self)
get_integer_variables(self)
get_value(self, ScenarioIndex scenario_index)
load(cls, model, data)
register(cls)
reset(self)
set_double_variables(self, double[)
set_integer_variables(self, int[)
setup(self)
unregister(cls)
value(self, Timestep ts, ...)

Attributes

children
comment	comment: str
double_size	double_size: 'int'
integer_size	integer_size: 'int'
is_constant
is_variable	is_variable: 'bool'
model
name
parents
size
tags	tags: dict