TSrepr (version 1.0.4)

denorm_z: Z-score denormalisation

Description

The denorm_z denormalises time series by z-score method.

Usage

denorm_z(x, mean, sd)

Arguments

x

the numeric vector (time series)

mean

the mean value

sd

the standard deviation value

Value

the numeric vector of denormalised values

References

Laurinec P, Luck<U+00E1> M (2018) Clustering-based forecasting method for individual consumers electricity load using time series representations. Open Comput Sci, 8(1):38<U+2013>50, DOI: 10.1515/comp-2018-0006

See Also

norm_z, norm_z_list

Examples

# NOT RUN {
# Normalise values and save normalisation parameters:
norm_res <- norm_z_list(rnorm(50, 5, 2))
# Denormalise new data with previous computed parameters:
denorm_z(rnorm(50, 4, 2), mean = norm_res$mean, sd = norm_res$sd)

# }