Author

Frederik Zahn

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#machine learning Preprint Oct 2026

On the Encoding of Calendar Features in Covariate-Informed Time Series Foundation Models

Time series foundation models (TSFMs) increasingly offer covariate support, with calendar information being the most common type of categorical covariate in practice, as it is available for every point in time. However, how these features are encoded is largely treated as an implementation detail rather than as an obje...

Alexander Kreusel, M. Beichter, Alexandra Nikoltchovska et al. · 0 citations

Preprint Aug 2026

Distributed coordination for transmission-distribution systems with nonlinear flexibility aggregation

High shares of distributed energy resources (DERs) transform distribution systems into active participants in integrated transmission and distribution (ITD) operations. Linear models enable scalable distribution-level flexibility aggregation but can misclassify AC feasible operating points, whereas direct nonlinear agg...

Xinliang Dai, Yanlin Jiang, Frederik Zahn et al. · 0 citations