pywrdrb.parameters.TemperatureModel

class pywrdrb.parameters.TemperatureModel(model, start_date, activate_thermal_control, activate_input_bias_correction, Q_C_lstm_var_name, Q_i_lstm_var_name, cannonsville_storage_pct_lstm_var_name, PywrDRB_ML_plugin_path, disable_tqdm, debug, **kwargs)

__init__(model, start_date, activate_thermal_control, activate_input_bias_correction, Q_C_lstm_var_name, Q_i_lstm_var_name, cannonsville_storage_pct_lstm_var_name, PywrDRB_ML_plugin_path, disable_tqdm, debug, **kwargs)

Methods

__init__(model, start_date, ...)
after(self)
before(self)
finish(self)
forecast(Q_C, Q_i, cannonsville_storage_pct)
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(cls, model, data)
make_control_release(Q_C, Q_i, ...)	Make the thermal control release decision based on the LSTM model predictions.
register(cls)
reset(self)
set_double_variables(self, double[)
set_integer_variables(self, int[)
setup(self)
unregister(cls)
update(Q_C, Q_i, cannonsville_storage_pct, ...)	Forward the LSTM models to one step.
value(self, Timestep ts, ...)

Attributes

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