genSol: Generating synthetic daily clearness index sequences

In frimane/SolMultinomClass: Solar Radiation Classification Using Nonparametric Multinomial Mixture Modeling

Description

Coupling between the sequence of classes resulting from the Dirichlet multinomial mixture classification and an hidden Markov model. This allows generating daily clearness index sequences capable of reproducing the same long-term statistical characteristics as those measured.

Usage

  genSol(nbr, seqStats, moy, variance)

Arguments

nbr	number of days desired.
seqStats	numerical vector containing the result sequence of clearness index classes from the classification method multinomDirClass.
moy	matrix containg the mean of each class. Each row represents a typical day
variance	list of matrices representing the variance of each class.

Value

an object of class matrix, each line represents a sample daily clearness index

Author(s)

Azeddine Frimane.
Laboratory of renewable Energies and Environment (LR2E),
Faculty of Science, IBN TOFAIL University, Morocco.
email: [e-mail]; [e-mail]

frimane/SolMultinomClass documentation built on Jan. 18, 2021, 4:49 a.m.