citylearn.end_use_load_profiles.simulate module

class citylearn.end_use_load_profiles.simulate.EndUseLoadProfilesEnergyPlusPartialLoadSimulator(ideal_loads_simulator: EndUseLoadProfilesEnergyPlusSimulator, allow_multi_load_time_step: bool = None, multiplier_minimum: float = None, multiplier_maximum: float = None, multiplier_probability: float = None, output_variables: List[str] = None, output_meters: List[str] = None, simulation_id: str = None, output_directory: Path | str = None, random_seed: int = None)[source]

Bases: EndUseLoadProfilesEnergyPlusSimulator

QUERIES_DIRECTORY = '/home/runner/work/CityLearn/CityLearn/citylearn/misc/queries'

add_other_equipment(idf: IDF) → IDF[source]

property allow_multi_load_time_step: bool

get_ideal_loads()[source]

get_multipliers(size: int) → ndarray[source]

get_zone_conditioning_metadata() → Mapping[str, Mapping[str, Any]][source]

property ideal_loads_simulator: EndUseLoadProfilesEnergyPlusSimulator

insert_zone_metadata(simulator: EndUseLoadProfilesEnergyPlusSimulator)[source]

classmethod multi_simulate(simulators: list, max_workers=None)[source]

property multiplier_maximum: float

property multiplier_minimum: float

property multiplier_probability: float

preprocess_idf_for_simulation() → IDF[source]

property random_seed: int

remove_ideal_loads_air_system(idf: IDF) → IDF[source]

simulate(**run_kwargs)[source]