20 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.LG2024
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
Hinrikus Wolf, Luis Böttcher, Sarra Bouchkati +9
In the course of the energy transition, the expansion of generation and consumption will change, and many of these technologies, such as PV systems, electric cars and heat pumps, w…
cs.LG2022★ 1 cited
Efficient learning of nonlinear prediction models with time-series privileged information
Bastian Jung, Fredrik D Johansson
In domains where sample sizes are limited, efficient learning algorithms are critical. Learning using privileged information (LuPI) offers increased sample efficiency by allowing p…
cs.LG2022★ 20 cited
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints
Luis Böttcher, Hinrikus Wolf, Bastian Jung +5
In this paper, we propose a graph neural network architecture to solve the AC power flow problem under realistic constraints. To ensure a safe and resilient operation of distributi…