Analysis of low voltage grid state estimation with limited measurement devices
J. Giebeler, T. Engelmann, J. Haubrock, in: Technische Universität Dresden; IEEE PES Germany Chapter (Ed.)  (Ed.), PESS 2024 – IEEE Power and Energy Student Summit, 2025.

Load Forecasting in Cellular Low-Voltage Grids for Day-Ahead Optimization Using Ensemble Learning
T. Engelmann, L. Quakernack, J. Haubrock, in: 2025 IEEE Kiel PowerTech, IEEE, 2025, pp. 1–6.

Autonomous AI for cellular energy systems increasing flexibilities provided by sector coupling and distributed storage
L. Quakernack, T. Engelmann, J. Haubrock, W. Ye, P. Zhang, S. Röhrenbeck, T. Reisinger, T. Leopold, B. Herold, S. Wilker, T. Sauter, M. Kelker, J. Breuersbrock, M. Dünser, S. Übermasser, in: 2025 IEEE Kiel PowerTech, IEEE, 2025, pp. 1–6.

Data-driven Day-ahead Load Classification For Capacity Planning
T. Engelmann, L. Quakernack, J. Haubrock, in: 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), IEEE, 2025, pp. 1–5.

Forecast Errors and Their Impact in Managing Cellular Low-voltage Grids
L. Quakernack, T. Engelmann, J. Haubrock, in: 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), IEEE, 2025, pp. 1–5.

Modeling distribution grids of the future: Importance of the scenario frameworks for the grid development plan in low voltage grids
L. Quakernack, T. Engelmann, J. Haubrock, in: VDE (Ed.), VDE Verlag, 2025.

LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data
L. Quakernack, T. Engelmann, J. Haubrock, V. Vaquet, in: IEEE (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.

Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems
T. Engelmann, L. Quakernack, J. Haubrock, in: IEEE (Ed.), PESS 2023; Power and Energy Student Summit, 2023.