Lars Quakernack
12 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
Quakernack, Lars, Thomas Engelmann, Jens Haubrock, and Valerie Vaquet. “LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data.” In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), edited by IEEE, 1–5. IEEE, 2024. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863725.
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| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Quakernack, Lars, Melina Gurcke, Katrin Schulte, and Jens 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), edited by IEEE, 1–5. IEEE, 2024. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863623.
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| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
Schulte, Katrin, Lars Engel, Lars Quakernack, Fynn Liegmann, and Jens 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, edited by Ninoslav Holjevac, Tomislav Baškarad, Matija Zidar, and Igor Kuzle, 2024.
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2023 | Konferenzbeitrag | FH-PUB-ID: 5723
Engelmann, Thomas, Lars Quakernack, and Jens 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, edited by IEEE, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Schulte, Katrin, Lars Engel, Lars Quakernack, and Jens Haubrock. “Optimized Photovoltaic Power Forecast Using K-Means Clustering Based Error Reduction.” In 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1–5. IEEE, 2023. https://doi.org/10.1109/ISGTEUROPE56780.2023.10407521.
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| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3105
Quakernack, Lars, Julian Hövelmann, Kersten Kröger, and Jens Haubrock. “AI-Based Heat Demand Forecasting in Industrial Buildings for Flexible Operation of Combined Heat and Power Plants,” 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3096
Steinhagen, Bastian, Timon Jungh, Marc Hesse, Ulrich Rückert, Lars Quakernack, Michael Kelker, and Jens Haubrock. “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), 1–5. IEEE, 2023. https://doi.org/10.1109/ISGTMiddleEast56437.2023.10078593.
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| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3113
Quakernack, Lars, Michael Kelker, and Jens 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), 1–5. IEEE, 2022. https://doi.org/10.1109/ISGT-Europe54678.2022.9960416.
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| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3112
Kelker, Michael, Lars Quakernack, Jens Haubrock, and Dirk 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), 01–05. IEEE, 2022. https://doi.org/10.1109/PESGM48719.2022.9917038.
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| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3097 | 
Quakernack, Lars, Michael Kelker, Ulrich Rückert, and Jens Haubrock. “Deep Reinforcement Learning Als Methode Zur Autonomen Steuerung von Niederspannungsnetzen Mit Fokus Auf Die Netzstabilität,” 2022.
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2021 | Konferenzbeitrag | FH-PUB-ID: 3356
Kelker, Michael, Lars Quakernack, and Jens Haubrock. “Multi Agent Deep Q-Reinforcement Learning for Autonomous Low Voltage Grid Control.” In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 1–6. IEEE, 2021. https://doi.org/10.1109/ISGTEurope52324.2021.9639897.
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| DOI
2018 | Konferenzbeitrag | FH-PUB-ID: 3360
Quakernack, Lars, Michael Kelker, and Jens Haubrock. “Simulation of a Smart-Micro-Grid to Analyse an Intelligent Charge Management in Matlab Simulink for a Local Bakery Chain,” 2018.
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12 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
Quakernack, Lars, Thomas Engelmann, Jens Haubrock, and Valerie Vaquet. “LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data.” In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), edited by IEEE, 1–5. IEEE, 2024. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863725.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Quakernack, Lars, Melina Gurcke, Katrin Schulte, and Jens 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), edited by IEEE, 1–5. IEEE, 2024. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863623.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
Schulte, Katrin, Lars Engel, Lars Quakernack, Fynn Liegmann, and Jens 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, edited by Ninoslav Holjevac, Tomislav Baškarad, Matija Zidar, and Igor Kuzle, 2024.
HSBI-PUB
2023 | Konferenzbeitrag | FH-PUB-ID: 5723
Engelmann, Thomas, Lars Quakernack, and Jens 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, edited by IEEE, 2023.
HSBI-PUB
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Schulte, Katrin, Lars Engel, Lars Quakernack, and Jens Haubrock. “Optimized Photovoltaic Power Forecast Using K-Means Clustering Based Error Reduction.” In 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1–5. IEEE, 2023. https://doi.org/10.1109/ISGTEUROPE56780.2023.10407521.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3105
Quakernack, Lars, Julian Hövelmann, Kersten Kröger, and Jens Haubrock. “AI-Based Heat Demand Forecasting in Industrial Buildings for Flexible Operation of Combined Heat and Power Plants,” 2023.
HSBI-PUB
2023 | Konferenzbeitrag | FH-PUB-ID: 3096
Steinhagen, Bastian, Timon Jungh, Marc Hesse, Ulrich Rückert, Lars Quakernack, Michael Kelker, and Jens Haubrock. “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), 1–5. IEEE, 2023. https://doi.org/10.1109/ISGTMiddleEast56437.2023.10078593.
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3113
Quakernack, Lars, Michael Kelker, and Jens 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), 1–5. IEEE, 2022. https://doi.org/10.1109/ISGT-Europe54678.2022.9960416.
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3112
Kelker, Michael, Lars Quakernack, Jens Haubrock, and Dirk 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), 01–05. IEEE, 2022. https://doi.org/10.1109/PESGM48719.2022.9917038.
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3097 |
Quakernack, Lars, Michael Kelker, Ulrich Rückert, and Jens Haubrock. “Deep Reinforcement Learning Als Methode Zur Autonomen Steuerung von Niederspannungsnetzen Mit Fokus Auf Die Netzstabilität,” 2022.
HSBI-PUB
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 3356
Kelker, Michael, Lars Quakernack, and Jens Haubrock. “Multi Agent Deep Q-Reinforcement Learning for Autonomous Low Voltage Grid Control.” In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 1–6. IEEE, 2021. https://doi.org/10.1109/ISGTEurope52324.2021.9639897.
HSBI-PUB
| DOI
2018 | Konferenzbeitrag | FH-PUB-ID: 3360
Quakernack, Lars, Michael Kelker, and Jens Haubrock. “Simulation of a Smart-Micro-Grid to Analyse an Intelligent Charge Management in Matlab Simulink for a Local Bakery Chain,” 2018.
HSBI-PUB