Multi agent deep Q-reinforcement learning for autonomous low voltage grid control M Kelker, L Quakernack, J Haubrock 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 1-6, 2021 | 4 | 2021 |
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 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2022 | 3 | 2022 |
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, ... 2023 IEEE PES Conference on Innovative Smart Grid Technologies-Middle East …, 2023 | 2 | 2023 |
Multi agent double deep q-network with multiple reward functions for electric vehicle charge control M Kelker, L Quakernack, J Haubrock, D Westermann 2022 IEEE Power & Energy Society General Meeting (PESGM), 01-05, 2022 | 1 | 2022 |
Optimized photovoltaic power forecast using k-means clustering based error reduction K Schulte, L Engel, L Quakernack, J Haubrock 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1-5, 2023 | | 2023 |
A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids L Quakernack, V Vaquet, B Hammer, J Haubrock 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1-5, 2023 | | 2023 |
AI-based heat demand forecasting in industrial buildings for flexible operation of combined heat and power plants L Quakernack, J Hoevelmann, K Kroeger, J Haubrock ETG Congress 2023, 1-6, 2023 | | 2023 |
DEEP REINFORCMENT LEARNING ALS METHODE ZUR AUTONOMEN STEUERUNG VON NIEDERSPANNUNGSNETZEN L QUAKERNACK, M KELKER, J HAUBROCKFehler | | |
Deep Reinforcement Learning als Methode zur autonomen Steuerung von Niederspannungsnetzen mit Fokus auf die Netzstabilität L Quakernack, M Kelker, U Rückert, J Haubrock | | |