sinergym.utils.wrappers.NormalizeObservation

class sinergym.utils.wrappers.NormalizeObservation(env: Any, ranges: Dict[str, Sequence[Any]] = {'Facility Total HVAC Electricity Demand Rate (Whole Building)': [173.6583692738386, 32595.57259261767], 'People Air Temperature (SPACE1-1 PEOPLE 1)': [0.0, 30.00826655379267], 'Site Diffuse Solar Radiation Rate per Area (Environment)': [0.0, 588.0], 'Site Direct Solar Radiation Rate per Area (Environment)': [0.0, 1033.0], 'Site Outdoor Air Drybulb Temperature (Environment)': [- 31.05437255409474, 60.72839186915495], 'Site Outdoor Air Relative Humidity (Environment)': [3.0, 100.0], 'Site Wind Direction (Environment)': [0.0, 357.5], 'Site Wind Speed (Environment)': [0.0, 23.1], 'Space1-ClgSetP-RL': [21.0, 30.0], 'Space1-HtgSetP-RL': [15.0, 22.49999], 'Zone Air Relative Humidity (SPACE1-1)': [3.287277410867238, 87.60662171287048], 'Zone Air Temperature (SPACE1-1)': [15.22565264653451, 30.00826655379267], 'Zone People Occupant Count (SPACE1-1)': [0.0, 11.0], 'Zone Thermal Comfort Clothing Value (SPACE1-1 PEOPLE 1)': [0.0, 1.0], 'Zone Thermal Comfort Fanger Model PPD (SPACE1-1 PEOPLE 1)': [0.0, 98.37141259444684], 'Zone Thermal Comfort Mean Radiant Temperature (SPACE1-1 PEOPLE 1)': [0.0, 35.98853496778508], 'Zone Thermostat Cooling Setpoint Temperature (SPACE1-1)': [21.0, 30.0], 'Zone Thermostat Heating Setpoint Temperature (SPACE1-1)': [15.0, 22.49999046325684], 'comfort_penalty': [- 6.508266553792669, - 0.0], 'day': [1, 31], 'done': [False, True], 'hour': [0, 23], 'month': [1, 12], 'reward': [- 3.550779087370951, - 0.0086829184636919], 'time (seconds)': [0, 31536000], 'timestep': [0, 35040], 'total_power_no_units': [- 3.259557259261767, - 0.0173658369273838]})

__init__(env: Any, ranges: Dict[str, Sequence[Any]] = {'Facility Total HVAC Electricity Demand Rate (Whole Building)': [173.6583692738386, 32595.57259261767], 'People Air Temperature (SPACE1-1 PEOPLE 1)': [0.0, 30.00826655379267], 'Site Diffuse Solar Radiation Rate per Area (Environment)': [0.0, 588.0], 'Site Direct Solar Radiation Rate per Area (Environment)': [0.0, 1033.0], 'Site Outdoor Air Drybulb Temperature (Environment)': [- 31.05437255409474, 60.72839186915495], 'Site Outdoor Air Relative Humidity (Environment)': [3.0, 100.0], 'Site Wind Direction (Environment)': [0.0, 357.5], 'Site Wind Speed (Environment)': [0.0, 23.1], 'Space1-ClgSetP-RL': [21.0, 30.0], 'Space1-HtgSetP-RL': [15.0, 22.49999], 'Zone Air Relative Humidity (SPACE1-1)': [3.287277410867238, 87.60662171287048], 'Zone Air Temperature (SPACE1-1)': [15.22565264653451, 30.00826655379267], 'Zone People Occupant Count (SPACE1-1)': [0.0, 11.0], 'Zone Thermal Comfort Clothing Value (SPACE1-1 PEOPLE 1)': [0.0, 1.0], 'Zone Thermal Comfort Fanger Model PPD (SPACE1-1 PEOPLE 1)': [0.0, 98.37141259444684], 'Zone Thermal Comfort Mean Radiant Temperature (SPACE1-1 PEOPLE 1)': [0.0, 35.98853496778508], 'Zone Thermostat Cooling Setpoint Temperature (SPACE1-1)': [21.0, 30.0], 'Zone Thermostat Heating Setpoint Temperature (SPACE1-1)': [15.0, 22.49999046325684], 'comfort_penalty': [- 6.508266553792669, - 0.0], 'day': [1, 31], 'done': [False, True], 'hour': [0, 23], 'month': [1, 12], 'reward': [- 3.550779087370951, - 0.0086829184636919], 'time (seconds)': [0, 31536000], 'timestep': [0, 35040], 'total_power_no_units': [- 3.259557259261767, - 0.0173658369273838]})

Observations normalized to range [0, 1].

Parameters

env (Any) – Original Sinergym environment.
ranges (Dict[str, Sequence[Any]], optional) – Observation variables ranges to apply normalization (rely on environment). Defaults to RANGES_5ZONE.

Methods

`__init__`(env[, ranges])	Observations normalized to range [0, 1].
`class_name`()
`close`()	Override close in your subclass to perform any necessary cleanup.
`compute_reward`(achieved_goal, desired_goal, info)
`get_unwrapped_obs`()	Get last environment observation without normalization.
`observation`(obs)	Applies normalization to observation.
`render`([mode])	Renders the environment.
`reset`(**kwargs)	Resets the environment to an initial state and returns an initial observation.
`seed`([seed])	Sets the seed for this env's random number generator(s).
`step`(action)	Run one timestep of the environment's dynamics.

Attributes

`action_space`
`metadata`
`observation_space`
`reward_range`
`spec`
`unwrapped`	Completely unwrap this env.

get_unwrapped_obs() → Optional[numpy.ndarray]

Get last environment observation without normalization.

Returns: Last original observation. If it is the first observation, this value is None.
Return type: Optional[np.ndarray]

observation(obs: numpy.ndarray) → numpy.ndarray

Applies normalization to observation.

Parameters: obs (np.ndarray) – Original observation.
Returns: Normalized observation.
Return type: np.ndarray