pywrdrb.parameters.VolBalanceLowerBasinMRFAggregate#
- class pywrdrb.parameters.VolBalanceLowerBasinMRFAggregate(model, release_needed_mrf_trenton, lower_basin_max_mrf_contributions, **kwargs)#
Calculates total Trenton contribution from all lower basin reservoirs.
- value(timestep, scenario_index)#
Checks how much lower basin reservoir release are needed & allowed to contribute to Trenton.
- load(model, data)#
Load the VolBalanceLowerBasinMRFAggregate parameter.
- release_needed_mrf_trenton#
Required MRF contributions for Trenton.
- Type:
Parameter
- lower_basin_max_mrf_contributions#
Maximum MRF contributions from each lower basin reservoir.
- Type:
dict
- drbc_lower_basin_reservoirs#
List of lower basin reservoirs.
- Type:
list
- __init__(model, release_needed_mrf_trenton, lower_basin_max_mrf_contributions, **kwargs)#
Initialize the VolBalanceLowerBasinMRFAggregate parameter.
- Parameters:
model (Model) – The pywrdrb.Model instance.
release_needed_mrf_trenton (Parameter) – Required contributions to maintain Trenton target.
lower_basin_max_mrf_contributions (dict) – Maximum contributions from each lower basin reservoir.
**kwargs – Additional keyword arguments.
Methods
__init__(model, release_needed_mrf_trenton, ...)Initialize the VolBalanceLowerBasinMRFAggregate parameter.
after(self)before(self)finish(self)get_all_values(self)get_constant_value(self)Return a constant value.
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(model, data)Load the parameter from model data.
register(cls)reset(self)set_double_variables(self, double[)set_integer_variables(self, int[)setup(self)unregister(cls)value(timestep, scenario_index)Calculate aggregate Trenton contribution from lower basin reservoirs.
Attributes
childrencommentstr
double_size'int'
integer_size'int'
is_constantis_variable'bool'
modelnameparentssizetagsdict