66 citations · 94 across the 6 of their papers we have counts for
6 papers
Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models
Matthias Hertel, Alexandra Nikoltchovska, Sebastian Pütz +3
Time Series Foundation Models (TSFMs) have recently emerged as general-purpose forecasting models and show considerable potential for applications in energy systems. However, appli…
Explainable time-series forecasting with sampling-free SHAP for Transformers
Matthias Hertel, Sebastian Pütz, Ralf Mikut +2
Time-series forecasts are essential for planning and decision-making in many domains. Explainability is key to building user trust and meeting transparency requirements. Shapley Ad…
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
Chen Shao, Yue Wang, Zhenyi Zhu +5
Energy forecasting is vital for grid reliability and operational efficiency. Although recent advances in time series forecasting have led to progress, existing benchmarks remain li…
Spin-orbit coupling in fluorinated graphene
Susanne Irmer, Tobias Frank, Sebastian Putz +3
We report on theoretical investigations of the spin-orbit coupling effects in fluorinated graphene. First-principles density functional calculations are performed for the dense and…
Anisotropic optical properties of Fe/GaAs(001) nanolayers from first principles
Sebastian Putz, Martin Gmitra, Jaroslav Fabian
We investigate the anisotropy of the optical properties of thin Fe films on GaAs(001) from first-principles calculations. Both intrinsic and magnetization-induced anisotropy are co…
Optical conductivity of hydrogenated graphene from first principles
Sebastian Putz, Martin Gmitra, Jaroslav Fabian
We investigate the effect of hydrogen coverage on the optical conductivity of single-side hydrogenated graphene from first principles calculations. To account for different degrees…