Capacity Change

Capacity Change Algorithm Module

This module the algorithm for detecting capacity changes in an unlabeled PV power production data sets. The algorithm works as follows:

• Run daily quantile statistic on cleaned data

• Fit a signal demixing model, assuming a seasonal component and a piecewise constant component

• Polish the L1 heuristic used to estimate piecewise constant component using iterative reweighting

• Assign daily cluster labels by rounding

class solardatatools.algorithms.capacity_change.CapacityChange

Bases: object

optimize_weight(metric, filter, w1s, solver=None)

run(data, w1=None, filter=None, quantile=1.0, solver=None)

solve_sd(metric, filter, w1, transition_locs=None, solver=None)

solardatatools.algorithms.capacity_change.custom_round(x, base=0.05)