Tsam consists of a main class containing the basic functionailities to aggregate time series to typical periods based on averaging, k-means clustering of hierarchical clustering. The utils-folder contains additional clustering algorithms including a mixed-interger linear programming based formulation of the k-medoids algorithm and constrained agglomerative clustering of adjacent time steps called segmentation.
Submodule with the basic functionalities
timeseriesaggregationDoc periodAggregationDoc representationsDoc
Submodules including exact k-medoids and segmentation
exactKmedoidsDoc segmentationDoc