Supported aggregation rules — CALENDAR

Each rule defines behaviour in both directions of the instant grid, so aggregation and disaggregation are one operation (the geoscales split of extensive vs intensive quantities):

Usage

CALENDAR_RULES

Format

A character vector of length 5.

Details

weighted_mean: Down: copy. Up: mean weighted by the declared leaves$share of each source timeslice. For intensive quantities (load, price, efficiency). The default.
sum: Down: split equally across the timeslice's grid instants. Up: sum. Conserves totals; for extensive quantities (energy, cost).
mean: Down: copy. Up: plain mean over instants — a time-weighted mean, since the grid is uniform. Differs from weighted_mean exactly when declared shares differ from real-time coverage.
copy: Down: copy. Up: the common value, erroring if it is not constant. For timeslice-invariant scalars.
sd: Up: standard deviation over instants — the spread of the fine signal within each target timeslice. Aggregation-only; going finer it degenerates to 0/NA.

Examples

CALENDAR_RULES
#> [1] "weighted_mean" "sum"           "mean"          "copy"         
#> [5] "sd"