Build a reusable clustering model for daily load-curve segments in the wavelet-energy feature space used by the clustered KWF workflow.
Usage
elcf4r_kwf_cluster_days(
segments,
wavelet = "la12",
max_clusters = 10L,
nstart = 30L,
cluster_seed = NULL
)Arguments
- segments
Matrix or data frame of daily load curves in chronological order.
- wavelet
Wavelet filter name passed to
wavelets::dwt(). Defaults to"la12".- max_clusters
Maximum number of candidate clusters considered by the Sugar jump heuristic.
- nstart
Number of random starts for
kmeans.- cluster_seed
Deprecated and ignored. Clustering now uses deterministic non-random starts.