1. Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison
2. Lindenmeyer, Constantin and Teichgraeber, Holger and Baumgaertner, Nils and Kotzur, Leander and Robinius, Martin and Bardow, Andre and Brandt, Adam R, Energy (Manuscript in preparation), Extreme events as part of representative periods for the optimization of residential energy supply systems, 2020
3. PyClustering: Data Mining Library
4. TSclust: AnRPackage for Time Series Clustering
5. Computing and Visualizing Dynamic Time Warping Alignments inR: ThedtwPackage