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.

Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic
L. Quakernack, M. Gurcke, K. Schulte, J. Haubrock, in: IEEE (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.

A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast
K. Schulte, L. Engel, L. Quakernack, F. Liegmann, J. Haubrock, in: N. Holjevac, T. Baskarad, M. Zidar, I. Kuzle (Eds.), IEEE PES ISGT  Europe 2024 Conference Book, 2024.

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.

Optimized photovoltaic power forecast using k-means clustering based error reduction
K. Schulte, L. Engel, L. Quakernack, J. Haubrock, in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.

AI-based heat demand forecasting in industrial buildings for flexible operation of combined heat and power plants
L. Quakernack, J. Hövelmann, K. Kröger, J. Haubrock, in: 2023.

Evaluation of the Usage of Edge Computing and LoRa for the Control of Electric Vehicle Charging in the Low Voltage Grid
B. Steinhagen, T. Jungh, M. Hesse, U. Rückert, L. Quakernack, M. Kelker, J. Haubrock, in: 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), IEEE, 2023, pp. 1–5.

Deep Reinforcement Learning For Autonomous Control Of Low Voltage Grids With Focus On Grid Stability In Future Power Grids
L. Quakernack, M. Kelker, J. Haubrock, in: 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), IEEE, 2022, pp. 1–5.

Multi agent double deep Q-network with multiple reward functions for electric vehicle charge control
M. Kelker, L. Quakernack, J. Haubrock, D. Westermann, in: 2022 IEEE Power &; Energy Society General Meeting (PESGM), IEEE, 2022, pp. 01–05.

Deep Reinforcement Learning als Methode zur autonomen Steuerung von Niederspannungsnetzen mit Fokus auf die Netzstabilität
L. Quakernack, M. Kelker, U. Rückert, J. Haubrock, in: 2022.

Multi agent deep Q-reinforcement learning for autonomous low voltage grid control
M. Kelker, L. Quakernack, J. Haubrock, in: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), IEEE, 2021, pp. 1–6.

Simulation of a Smart-Micro-Grid to Analyse an Intelligent Charge Management in Matlab Simulink for a Local Bakery Chain
L. Quakernack, M. Kelker, J. Haubrock, in: 2018.