TSrepr (version 1.0.4)

repr_seas_profile: Mean seasonal profile of time series

Description

The repr_seas_profile computes mean seasonal profile representation from a time series.

Usage

repr_seas_profile(x, freq, func)

Arguments

x

the numeric vector (time series)

freq

the integer of the length of the season

func

the aggregation function. Can be meanC or medianC or similar aggregation function.

Value

the numeric vector

Details

This function computes mean seasonal profile representation for a seasonal time series. The length of representation is length of set seasonality (frequency) of a time series. Aggregation function is arbitrary (best choice is for you maybe mean or median).

References

Laurinec P, Lucka M (2016) Comparison of representations of time series for clustering smart meter data. In: Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering and Computer Science 2016, pp 458-463

Laurinec P, Loderer M, Vrablecova P, Lucka M, Rozinajova V, Ezzeddine AB (2016) Adaptive time series forecasting of energy consumption using optimized cluster analysis. In: Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on, IEEE, pp 398-405

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

repr_lm, repr_gam, repr_exp

Examples

# NOT RUN {
repr_seas_profile(rnorm(48*10), 48, meanC)

# }

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