no code implementations • 6 Apr 2023 • Jannik Thuemmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz
We show how the design choices made in each of the five design elements relate to structural assumptions.
1 code implementation • 6 Dec 2022 • Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig, Veit Hagenmeyer
The increase in renewable energy sources (RESs), like wind or solar power, results in growinguncertainty also in transmission grids.
1 code implementation • 12 Apr 2022 • Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig, Veit Hagenmeyer
One key strategy to cope with this uncertainty is the use of distributed energy storage systems (ESSs).
no code implementations • 17 Feb 2022 • Nina Effenberger, Nicole Ludwig
Wind power and other forms of renewable energy sources play an ever more important role in the energy supply of today's power grids.
1 code implementation • 17 Nov 2021 • Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut
In the present paper, we analyze the impact of data representations on the performance of Deep Neural Networks using energy time series forecasting.
1 code implementation • 18 Jun 2021 • Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
Time series data are fundamental for a variety of applications, ranging from financial markets to energy systems.