Energy Economics Lab (EECON Lab)

Möbius, T., Riepin, I., Müsgens, F. und van der Weijde, A. H. (2023): Risk aversion and flexibility options in electricity markets, Energy Economics, Vol. 126, 2023,

Genge, L., Scheller, F., and Müsgens, F. (2023): Supply costs of green chemical energy carriers at the European border: A meta-analysis, International Journal of Hydrogen Energy, Vol. 173, 113375. doi:

Batz Liñeiro, T. B., Müsgens, F., (2023). 'Evaluating the German onshore wind auction programme: An analysis based on individual bids'. Energy Policy 172, 113317. | Preprint

Hoffmann, C., Jalbout, E.,Villanueva, M.,Batz Liñeiro, T., Müsgens, F., (In review). 'Positive and Negative Externalities from Renewable and Conventional Power Plants in the Backyard: The Value of Participation'. Preprint

Control Systems and Cyber Security Lab (COSYS Lab)

Bartsch, W.; Gope, P.; Kavun, E.; Millwood, O.; Panchenko, A.; Pasikhani, A. M.; Polian, I.: Design Rationale for Symbiotically Secure Key Management Systems in IoT and Beyond In 9th International Conference on Information System Security and Privacy (ICISSP 2023), Lisbon, Portugal, February 22-24, 2023. ISBN: 978-989-758-624-8

M. Rose, C. A. Hans and J. Schiffer "A Predictive Operation Controller for an Electro-Thermal Microgrid Utilizing Variable Flow Temperatures" Accepted at 22nd IFAC World Congress, Yokohama, Japan, 2023

N. Lorenz-Meyer, R. Suchantke, and J. Schiffer "Dynamic state and parameter estimation in multi-machine power systems - Experimental demonstration using real-world PMU-measurements" Control Engineering Practice 135 (2023): 105491

A. Mitseva, P. Thierse, H. Hoffmann, D. Er, and A. Panchenko "Challenges and Pitfalls in Generating Representative ICS Datasets in Cyber Security Research." Computer Security. ESORICS 2022 International Workshops: CyberICPS 2022, SECPRE 2022, SPOSE 2022, CPS4CIP 2022, CDT&SECOMANE 2022, EIS 2022, and SecAssure 2022, Copenhagen, Denmark, 2022

Energy Storage and Conversion Lab (ESC Lab)

Rakhi, K. P. Shrestha, V. Günther, and F. Mauss (2022). Kinetically consistent detailed surface reaction mechanism for steam reforming of methane over nickel catalyst. Reaction Kinetics, Mechanisms and  Catalysis.

Reaction Mechanism Development for Methane Steam Reforming on a Ni/Al2O3 Catalyst
J. Richter, F. Rachow, J. Israel, N. Roth, E. Charlafti, V. Günther, J. I. Flege, F. Mauss
Catalysts 13 (2023) 884 Online (DOI)

Scientific Computing Lab (SC Lab)

M. Klein, P.-Y. Tsai, and H. Schmidt. Stochastic modeling and large-eddy simulation of heated concentric coaxial pipes. In book: New Results in Numerical and Experimental Fluid Mechanics XIV - Contributions to the 23rd STAB/DGLR Symposium Berlin, Germany 2022, edited by Andreas Dillmann, Gerd Heller, Ewald Krämer, Claus Wagner, and Julien Weiss. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol. 154, pp. 435–444, Springer, Cham, 2024. DOI: 10.1007/978-3-031-40482-5_41. Preprint: STAB22_heatedAnnularPipe

M. Klein, J. A. Medina Méndez, M. S. Schöps, and H. Schmidt (2023). Predicting volatile wind energy: Stochastic forward modeling and machine learning. 86th Annual Conference of the DPG, DPG Spring Meeting 2023 of the Matter and Cosmos Section (SMuK), 20-24 March 2023, Technische Universität Dresden, Germany. In proceedings: Verhandlungen der Deutschen Physikalischen Gesellschaft, Series 6, Volume 58, Page 353, AKPIK 1.2. URL:

M. Klein, and H. Schmidt. Capturing features of turbulent Ekman–Stokes boundary layers with a stochastic modeling approach. Adv. Sci. Res.20:55–64, 2023. DOI: 10.5194/asr-20-55-2023 (open access)

M. Klein, J. A. Medina Méndez, and H. Schmidt. Stochastic modeling of electrohydrodynamically enhanced drag in one-way and fully coupled turbulent Poiseuille and Couette flow. Technische Mechanik43(1):111–127, 2023. DOI:

M. Klein, J. Medina, H. Schmidt. Modeling Volatile Wind Energy: Stochastic Forward Modeling and Machine Learning. Poster. In: KI-Atlas Brandenburg, 2022. URL: /

M. Klein, T. Starick, C. Zenker, J. A. Medina Méndez, and Heiko Schmidt. Reduced order stochastic modeling of turbulent mixing based on conservative baker’s map. In: Proceedings of the 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements (ETMM14), 613–617, 2023. URL: (follow link entitled Proceedings)