Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments
D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, O. Wallscheid, IEEE Access 9 (2021) 35654–35669.

Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer
M. Stender, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 36 (2021) 13261–13274.

Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach
M. Stender, O. Wallscheid, J. Böcker, in: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021.

Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor
M. Stender, O. Wallscheid, J. Böcker, in: IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2021.

Gray-Box Loss Model for Induction Motor Drives
M. Stender, O. Wallscheid, J. Böcker, in: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021.

Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor
S. Hanke, O. Wallscheid, J. Böcker, in: IET Digital Library, 2021.

Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges
O. Wallscheid, IEEE Open Journal of Industry Applications (2021).

Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion 36 (2021) 2059–2067.

gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems
P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, O. Wallscheid, Journal of Open Source Software (2021).

A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors
M. Schenke, O. Wallscheid, IEEE Open Journal of the Industrial Electronics Society (2021) 388–400.

Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
M. Schenke, O. Wallscheid, ArXiv Preprint ArXiv:2105.08990 (2021).

Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors
A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Informatics (2021).

Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, ArXiv Preprint ArXiv:2103.16323 (2021).

Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control
A. Traue, G. Book, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Neural Networks and Learning Systems (2020) 1–10.

Estimating Electric Motor Temperatures with Deep Residual Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 36 (2020) 7480–7488.

Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors
A. Brosch, S. Hanke, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2020) 2179–2190.

Emulation of Microgrids for Research and Validation of Control and Operation Strategies
K.S.C. Stille, D. Weber, J. Lange, T. Vogt, O. Wallscheid, J. Böcker, in: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2020.

Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives
M. Stender, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Electronics 68 (2020) 8646–8656.

Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers
M. Stender, O. Wallscheid, J. Böcker, in: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2020.

OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control
S. Heid, D. Weber, H. Bode, E. Hüllermeier, O. Wallscheid, Journal of Open Source Software 5 (2020) 2435.