ClearSky

Clear sky transformer for solar data.

Quickstart

from sktime.transformations.clear_sky import ClearSky

estimator = ClearSky(quantile_prob=0.95, bw_diurnal=100, bw_annual=10, min_thresh=0, n_jobs=None, backend='loky')

Parameters(6)

quantile_probfloat, default=0.95

The probability level used to calculate the weighted quantile

bw_diurnalfloat, default=100

The bandwidth of the diurnal kernel. This is the kappa value of the von mises kernel for time of day.

bw_annualfloat, default=10

The bandwidth of the annual kernel. This is the kappa value of the von mises kernel for day of year.

min_threshfloat, default=0

The threshold of the clear sky power below which values are set to zero in the transformed domain.

n_jobsint or None, default=None

Number of jobs to run in parallel. None means 1 unless in a joblib.parallel_backend context. -1 means using all processors.

backendstr, default=”loky”

Specify the parallelisation backend implementation in joblib, where “loky” is used by default.

Examples

>>> from sktime.transformations.clear_sky import ClearSky
>>> from sktime.datasets import load_solar
>>> y = load_solar ()
>>> transformer = ClearSky ()
>>> # takes ~1min
>>> y_trafo = transformer. fit_transform (y)

References

1. [1 ] https://doi.org/10.1016/j.solener.2009.05.016