Lars Quakernack
25 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6529
L. Quakernack, T. Engelmann, and J. Haubrock, “Modeling distribution grids of the future: Importance of the scenario frameworks for the grid development plan in low voltage grids,” presented at the ETG Kongress 2025, Kassel, 2025.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 6534
K. Handel, K. Schulte, L. Quakernack, R. Rigo-Mariani, and J. Haubrock, “Impacts of Energy Tariff Structures in Home Battery Energy Storage System Controls on Low-Voltage Grids,” in 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Valletta, Malta, 2025, pp. 1–5.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
L. Quakernack, T. Engelmann, J. Haubrock, and V. Vaquet, “LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 6536
L. Quakernack et al., “Autonome KI für Zellulare Energiesysteme mit zunehmender Flexibilität durch Sektorenkopplung und verteilte Speicher,” presented at the 18. Symposium Energieinnovation, EnInnov, Graz, 2024.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 6533
V. Vaquet, F. Hinder, J. Vaquet, K. Lammers, L. Quakernack, and B. Hammer, “Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations,” in 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1–8.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 6537
S. Wilker, P. Bauer, T. Reisinger, T. Leopold, L. Quakernack, and J. Haubrock, “Development of AI agents for cellular energy systems to increase flexibilities provided by sector coupling and distributed storage,” presented at the 13. Symposium Communications for Energy Systems (ComForEn 2024) , Wien, 2024.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 6531
W. Ye, H.-H. Chang, P. Zhang, L. Quakernack, M. Kelker, and J. Haubrock, “Comparison of Hierarchical MPC-Based Energy Management Strategies for Residential Microgrids,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
L. Quakernack, M. Gurcke, K. Schulte, and J. Haubrock, “Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
K. Schulte, L. Engel, L. Quakernack, F. Liegmann, and J. Haubrock, “A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast,” in IEEE PES ISGT Europe 2024 Conference book, Dubrovnik, Croatia, 2024.
HSBI-PUB
2023 | Konferenzbeitrag | FH-PUB-ID: 5723
T. Engelmann, L. Quakernack, and J. Haubrock, “Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems,” in PESS 2023; Power and Energy Student Summit, Bielefeld, 2023.
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| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 6530
L. Quakernack, V. Vaquet, B. Hammer, and J. Haubrock, “A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids,” in 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France, 2023, pp. 1–5.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
K. Schulte, L. Engel, L. Quakernack, and J. Haubrock, “Optimized photovoltaic power forecast using k-means clustering based error reduction,” in 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France, 2023, pp. 1–5.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3105
L. Quakernack, J. Hövelmann, K. Kröger, and J. Haubrock, “AI-based heat demand forecasting in industrial buildings for flexible operation of combined heat and power plants,” presented at the International ETG-Congress 2023, Magdeburg, Germany, 2023.
HSBI-PUB
2023 | Konferenzbeitrag | FH-PUB-ID: 3096
B. Steinhagen et al., “Evaluation of the Usage of Edge Computing and LoRa for the Control of Electric Vehicle Charging in the Low Voltage Grid,” in 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), Abu Dhabi, United Arab Emirates, 2023, pp. 1–5.
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3113
L. Quakernack, M. Kelker, and J. Haubrock, “Deep Reinforcement Learning For Autonomous Control Of Low Voltage Grids With Focus On Grid Stability In Future Power Grids,” in 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Novi Sad, Serbia, 2022, pp. 1–5.
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3112
M. Kelker, L. Quakernack, J. Haubrock, and D. Westermann, “Multi agent double deep Q-network with multiple reward functions for electric vehicle charge control,” in 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 01–05.
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3097 |
L. Quakernack, M. Kelker, U. Rückert, and J. Haubrock, “Deep Reinforcement Learning als Methode zur autonomen Steuerung von Niederspannungsnetzen mit Fokus auf die Netzstabilität,” presented at the 17. Symposium Energieinnovation, Graz, 2022.
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| Download (ext.)
2018 | Konferenzbeitrag | FH-PUB-ID: 3360
L. Quakernack, M. Kelker, and J. Haubrock, “Simulation of a Smart-Micro-Grid to Analyse an Intelligent Charge Management in Matlab Simulink for a Local Bakery Chain,” presented at the 8. IEEE Germany Student Conference, Magdeburg, 2018.
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25 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6529
L. Quakernack, T. Engelmann, and J. Haubrock, “Modeling distribution grids of the future: Importance of the scenario frameworks for the grid development plan in low voltage grids,” presented at the ETG Kongress 2025, Kassel, 2025.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 6534
K. Handel, K. Schulte, L. Quakernack, R. Rigo-Mariani, and J. Haubrock, “Impacts of Energy Tariff Structures in Home Battery Energy Storage System Controls on Low-Voltage Grids,” in 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Valletta, Malta, 2025, pp. 1–5.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
L. Quakernack, T. Engelmann, J. Haubrock, and V. Vaquet, “LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 6536
L. Quakernack et al., “Autonome KI für Zellulare Energiesysteme mit zunehmender Flexibilität durch Sektorenkopplung und verteilte Speicher,” presented at the 18. Symposium Energieinnovation, EnInnov, Graz, 2024.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 6533
V. Vaquet, F. Hinder, J. Vaquet, K. Lammers, L. Quakernack, and B. Hammer, “Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations,” in 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1–8.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 6537
S. Wilker, P. Bauer, T. Reisinger, T. Leopold, L. Quakernack, and J. Haubrock, “Development of AI agents for cellular energy systems to increase flexibilities provided by sector coupling and distributed storage,” presented at the 13. Symposium Communications for Energy Systems (ComForEn 2024) , Wien, 2024.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 6531
W. Ye, H.-H. Chang, P. Zhang, L. Quakernack, M. Kelker, and J. Haubrock, “Comparison of Hierarchical MPC-Based Energy Management Strategies for Residential Microgrids,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
L. Quakernack, M. Gurcke, K. Schulte, and J. Haubrock, “Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
K. Schulte, L. Engel, L. Quakernack, F. Liegmann, and J. Haubrock, “A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast,” in IEEE PES ISGT Europe 2024 Conference book, Dubrovnik, Croatia, 2024.
HSBI-PUB
2023 | Konferenzbeitrag | FH-PUB-ID: 5723
T. Engelmann, L. Quakernack, and J. Haubrock, “Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems,” in PESS 2023; Power and Energy Student Summit, Bielefeld, 2023.
HSBI-PUB
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 6530
L. Quakernack, V. Vaquet, B. Hammer, and J. Haubrock, “A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids,” in 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France, 2023, pp. 1–5.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
K. Schulte, L. Engel, L. Quakernack, and J. Haubrock, “Optimized photovoltaic power forecast using k-means clustering based error reduction,” in 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France, 2023, pp. 1–5.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3105
L. Quakernack, J. Hövelmann, K. Kröger, and J. Haubrock, “AI-based heat demand forecasting in industrial buildings for flexible operation of combined heat and power plants,” presented at the International ETG-Congress 2023, Magdeburg, Germany, 2023.
HSBI-PUB
2023 | Konferenzbeitrag | FH-PUB-ID: 3096
B. Steinhagen et al., “Evaluation of the Usage of Edge Computing and LoRa for the Control of Electric Vehicle Charging in the Low Voltage Grid,” in 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), Abu Dhabi, United Arab Emirates, 2023, pp. 1–5.
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3113
L. Quakernack, M. Kelker, and J. Haubrock, “Deep Reinforcement Learning For Autonomous Control Of Low Voltage Grids With Focus On Grid Stability In Future Power Grids,” in 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Novi Sad, Serbia, 2022, pp. 1–5.
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3112
M. Kelker, L. Quakernack, J. Haubrock, and D. Westermann, “Multi agent double deep Q-network with multiple reward functions for electric vehicle charge control,” in 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 01–05.
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3097 |
L. Quakernack, M. Kelker, U. Rückert, and J. Haubrock, “Deep Reinforcement Learning als Methode zur autonomen Steuerung von Niederspannungsnetzen mit Fokus auf die Netzstabilität,” presented at the 17. Symposium Energieinnovation, Graz, 2022.
HSBI-PUB
| Download (ext.)
2018 | Konferenzbeitrag | FH-PUB-ID: 3360
L. Quakernack, M. Kelker, and J. Haubrock, “Simulation of a Smart-Micro-Grid to Analyse an Intelligent Charge Management in Matlab Simulink for a Local Bakery Chain,” presented at the 8. IEEE Germany Student Conference, Magdeburg, 2018.
HSBI-PUB