akkudoktoreos.prediction.interpolator.EOSLoadInterpolator
- class akkudoktoreos.prediction.interpolator.EOSLoadInterpolator(*args: Any, **kwargs: Any)
Bases:
SelfConsumptionProbabilityInterpolator,SingletonMixin- __init__() None
Initializes the singleton instance if it has not been initialized previously.
Further calls to __init__ are ignored for the singleton instance.
- Parameters:
*args – Positional arguments for initialization.
**kwargs – Keyword arguments for initialization.
Methods
__init__()Initializes the singleton instance if it has not been initialized previously.
calculate_self_consumption(load_1h_power, ...)Calculate the PV self-consumption rate using RegularGridInterpolator.
Resets the singleton instance, forcing it to be recreated on next access.
- __init__() None
Initializes the singleton instance if it has not been initialized previously.
Further calls to __init__ are ignored for the singleton instance.
- Parameters:
*args – Positional arguments for initialization.
**kwargs – Keyword arguments for initialization.
- static __new__(cls: Type[SingletonMixin], *args: Any, **kwargs: Any) SingletonMixin
Creates or returns the singleton instance of the class.
Ensures thread-safe instance creation by locking during the first instantiation.
- Parameters:
*args – Positional arguments for instance creation (ignored if instance exists).
**kwargs – Keyword arguments for instance creation (ignored if instance exists).
- Returns:
The singleton instance of the derived class.
- Return type:
- calculate_self_consumption(load_1h_power: float, pv_power: float) float
Calculate the PV self-consumption rate using RegularGridInterpolator.
The results are cached until the start of the next energy management run/ optimization.
- Parameters:
last_1h_power (-) – 1h power levels (W).
pv_power (-) – Current PV power output (W).
- Returns:
Self-consumption rate as a float.
- classmethod reset_instance() None
Resets the singleton instance, forcing it to be recreated on next access.