Prediction of residual power peaks in industrial microgrids using artificial neural networks. - Thorsten Vogt; Daniel Weber 004; Oliver Wallscheid; Joachim Böcker (IJCNN, 2017)

Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. - Henrik Bode; Stefan Heid; Daniel Weber 004; Eyke Hüllermeier; Oliver Wallscheid (CoRR, 2020)

OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. - Stefan Heid; Daniel Weber 004; Henrik Bode; Eyke Hüllermeier; Oliver Wallscheid (J. Open Source Softw., 2020)

Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. - Daniel Weber 004; Stefan Heid; Henrik Bode; Jarren H. Lange; Eyke Hüllermeier; Oliver Wallscheid (IEEE Access, 2021)

Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control. - Daniel Weber 004; Maximilian Schenke; Oliver Wallscheid (CoRR, 2022)

Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems. - Daniel Weber 004; Maximilian Schenke; Oliver Wallscheid (IEEE Access, 2023)

ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids. - Oliver Wallscheid; Sebastian Peitz; Jan Stenner; Daniel Weber 004; Septimus Boshoff; Marvin Meyer; Vikas Chidananda; Oliver Schweins (J. Open Source Softw., 2023)