Katrin Schulte
18 Publikationen
2025 | Artikel | FH-PUB-ID: 5850
Gurcke, Melina ; Cziomer, Mara ; Schulte, Katrin ; Haubrock, Jens: Grid-assistive use of private battery energy storage systems based on fuzzy logic. In: IET Conference Proceedings Bd. 2024, Institution of Engineering and Technology (IET) (2025), Nr. 29, S. 697–702
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Quakernack, Lars ; Gurcke, Melina ; Schulte, Katrin ; Haubrock, Jens: Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic. In: IEEE (Hrsg.): 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2024, S. 1–5
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5719
Liegmann, Fynn ; Schulte, Katrin ; Annen, Felix ; Haubrock, Jens ; Kelker, Michael ; Joseph, Svenja ; Raczka, Sebastian ; Rehtanz, Christian: Concept of a test bench for research into automatic resupply to improve the resilience of critical infrastructure. In: Institute of Electrical and Electronics Engineers (IEEE) (Hrsg.): 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2024, S. 1–5
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
Schulte, Katrin ; Engel, Lars ; Quakernack, Lars ; Liegmann, Fynn ; Haubrock, Jens: A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast. In: Holjevac, N. ; Baškarad, T. ; Zidar, M. ; Kuzle, I. (Hrsg.): IEEE PES ISGT Europe 2024 Conference book, 2024
HSBI-PUB
2023 | Konferenzbeitrag | FH-PUB-ID: 5561
Handel, Katrin ; Schulte, Katrin ; Rigo-Mariani, Rémy ; Haubrock, Jens ; Arens, Jan: Control of distributed energy storage systems for minimum reverse flow in a distribution grid with high share of photovoltaic. In: Institute of Electrical and Electronics Engineers (IEEE) (Hrsg.): 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2023, S. 1–5
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4359
Jungh, Timon ; Steinhagen, Bastian ; Hesse, Marc ; Schulte, Katrin: Comparison of Different Machine Learning Models for Short-Term Load Forecasting at Transformer Level with High Amounts of Photovoltaic Generation. In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2023, S. 1–5
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4358
Handel, Katrin ; Schulte, Katrin ; Rigo-Mariani, Rémy ; Haubrock, Jens ; Arens, Jan: Control of distributed energy storage systems for minimum reverse flow in a distribution grid with high share of photovoltaic. In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2023, S. 1–5
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Schulte, Katrin ; Engel, Lars ; Quakernack, Lars ; Haubrock, Jens: Optimized photovoltaic power forecast using k-means clustering based error reduction. In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2023, S. 1–5
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3114 |
Annen, Felix ; Kröger, Kersten ; Schulte, Katrin ; Haubrock, Jens: Aufbau eines HIL Teststandes zur Vaildierung von Algorithmen zur Steuerung von Smart Micro Grids. In: , 2022
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2021 | Konferenzbeitrag | FH-PUB-ID: 3355
Schulte, Katrin ; Runde, Oliver ; Kelker, Michael ; Haubrock, Jens: Prediction of the local cloud cover to optimize photovoltaic system power forecast. In: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) : IEEE, 2021, S. 01–05
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 3375
Schwienheer, Marvin ; Schulte, Katrin ; Kröger, Kersten ; Haubrock, Jens: Realization of a power distributing electric vehicle charging system. In: Schulz, D. (Hrsg.): NEIS 2021. Conference on Sustainable Energy Supply and Energy Storage Systems Hamburg, 13 – 14 September 2021. Berlin : VDE Verlag GmbH, 2021, S. 249–253
HSBI-PUB
2020 | Konferenzbeitrag | FH-PUB-ID: 3359
Schulte, Katrin ; Kelker, Michael ; Haubrock, Jens: Artificial neural networks to predict the node voltages in a low-voltage grid. In: NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, 2020
HSBI-PUB
2020 | Konferenzbeitrag | FH-PUB-ID: 3358
Lohmann, Paul ; Kelker, Michael ; Schulte, Katrin ; Haubrock, Jens: Auslegung eines Antriebstranges für einen Batterie-Elektrischen Zug. In: EnInnov 2020; 16. Symposium Energieinnovation, 2020
HSBI-PUB
2020 | Konferenzbeitrag | FH-PUB-ID: 3354
Kelker, Michael ; Schulte, Katrin ; Haubrock, Jens: State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement. In: NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, 2020
HSBI-PUB
2020 | Konferenzbeitrag | FH-PUB-ID: 3353 |
Kelker, Michael ; Berrada, Amina ; Schulte, Katrin ; Haubrock, Jens: Entwicklung und Validierung eines optimalen Platzierungsalgorithmus für µPMUS im Niederspannungsnetz. In: EnInnov 2020; 16. Symposium Energieinnovation, 2020
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2019 | Konferenzbeitrag | FH-PUB-ID: 3351
Kelker, Michael ; Schulte, Katrin ; Kröger, Kersten ; Haubrock, Jens: Development and validation of a neural network for state estimation in the distribution grid based on μPMU data. In: 2019 Modern Electric Power Systems (MEPS) : IEEE, 2019, S. 1–6
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| DOI
2019 | Konferenzbeitrag | FH-PUB-ID: 3350
Kelker, Michael ; Schulte, Katrin ; Hansmeier, Dirk ; Annen, Felix ; Kröger, Kersten ; Lohmann, Paul ; Haubrock, Jens: Development of a forecast model for the prediction of photovoltaic power using neural networks and validating the model based on real measurement data of a local photovoltaic system. In: 2019 IEEE Milan PowerTech : IEEE, 2019, S. 1–6
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18 Publikationen
2025 | Artikel | FH-PUB-ID: 5850
Gurcke, Melina ; Cziomer, Mara ; Schulte, Katrin ; Haubrock, Jens: Grid-assistive use of private battery energy storage systems based on fuzzy logic. In: IET Conference Proceedings Bd. 2024, Institution of Engineering and Technology (IET) (2025), Nr. 29, S. 697–702
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Quakernack, Lars ; Gurcke, Melina ; Schulte, Katrin ; Haubrock, Jens: Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic. In: IEEE (Hrsg.): 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2024, S. 1–5
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5719
Liegmann, Fynn ; Schulte, Katrin ; Annen, Felix ; Haubrock, Jens ; Kelker, Michael ; Joseph, Svenja ; Raczka, Sebastian ; Rehtanz, Christian: Concept of a test bench for research into automatic resupply to improve the resilience of critical infrastructure. In: Institute of Electrical and Electronics Engineers (IEEE) (Hrsg.): 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2024, S. 1–5
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
Schulte, Katrin ; Engel, Lars ; Quakernack, Lars ; Liegmann, Fynn ; Haubrock, Jens: A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast. In: Holjevac, N. ; Baškarad, T. ; Zidar, M. ; Kuzle, I. (Hrsg.): IEEE PES ISGT Europe 2024 Conference book, 2024
HSBI-PUB
2023 | Konferenzbeitrag | FH-PUB-ID: 5561
Handel, Katrin ; Schulte, Katrin ; Rigo-Mariani, Rémy ; Haubrock, Jens ; Arens, Jan: Control of distributed energy storage systems for minimum reverse flow in a distribution grid with high share of photovoltaic. In: Institute of Electrical and Electronics Engineers (IEEE) (Hrsg.): 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2023, S. 1–5
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4359
Jungh, Timon ; Steinhagen, Bastian ; Hesse, Marc ; Schulte, Katrin: Comparison of Different Machine Learning Models for Short-Term Load Forecasting at Transformer Level with High Amounts of Photovoltaic Generation. In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2023, S. 1–5
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4358
Handel, Katrin ; Schulte, Katrin ; Rigo-Mariani, Rémy ; Haubrock, Jens ; Arens, Jan: Control of distributed energy storage systems for minimum reverse flow in a distribution grid with high share of photovoltaic. In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2023, S. 1–5
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Schulte, Katrin ; Engel, Lars ; Quakernack, Lars ; Haubrock, Jens: Optimized photovoltaic power forecast using k-means clustering based error reduction. In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) : IEEE, 2023, S. 1–5
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 3114 |
Annen, Felix ; Kröger, Kersten ; Schulte, Katrin ; Haubrock, Jens: Aufbau eines HIL Teststandes zur Vaildierung von Algorithmen zur Steuerung von Smart Micro Grids. In: , 2022
HSBI-PUB
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 3355
Schulte, Katrin ; Runde, Oliver ; Kelker, Michael ; Haubrock, Jens: Prediction of the local cloud cover to optimize photovoltaic system power forecast. In: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) : IEEE, 2021, S. 01–05
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 3375
Schwienheer, Marvin ; Schulte, Katrin ; Kröger, Kersten ; Haubrock, Jens: Realization of a power distributing electric vehicle charging system. In: Schulz, D. (Hrsg.): NEIS 2021. Conference on Sustainable Energy Supply and Energy Storage Systems Hamburg, 13 – 14 September 2021. Berlin : VDE Verlag GmbH, 2021, S. 249–253
HSBI-PUB
2020 | Konferenzbeitrag | FH-PUB-ID: 3359
Schulte, Katrin ; Kelker, Michael ; Haubrock, Jens: Artificial neural networks to predict the node voltages in a low-voltage grid. In: NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, 2020
HSBI-PUB
2020 | Konferenzbeitrag | FH-PUB-ID: 3358
Lohmann, Paul ; Kelker, Michael ; Schulte, Katrin ; Haubrock, Jens: Auslegung eines Antriebstranges für einen Batterie-Elektrischen Zug. In: EnInnov 2020; 16. Symposium Energieinnovation, 2020
HSBI-PUB
2020 | Konferenzbeitrag | FH-PUB-ID: 3354
Kelker, Michael ; Schulte, Katrin ; Haubrock, Jens: State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement. In: NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, 2020
HSBI-PUB
2020 | Konferenzbeitrag | FH-PUB-ID: 3353 |
Kelker, Michael ; Berrada, Amina ; Schulte, Katrin ; Haubrock, Jens: Entwicklung und Validierung eines optimalen Platzierungsalgorithmus für µPMUS im Niederspannungsnetz. In: EnInnov 2020; 16. Symposium Energieinnovation, 2020
HSBI-PUB
| Download (ext.)
2019 | Konferenzbeitrag | FH-PUB-ID: 3351
Kelker, Michael ; Schulte, Katrin ; Kröger, Kersten ; Haubrock, Jens: Development and validation of a neural network for state estimation in the distribution grid based on μPMU data. In: 2019 Modern Electric Power Systems (MEPS) : IEEE, 2019, S. 1–6
HSBI-PUB
| DOI
2019 | Konferenzbeitrag | FH-PUB-ID: 3350
Kelker, Michael ; Schulte, Katrin ; Hansmeier, Dirk ; Annen, Felix ; Kröger, Kersten ; Lohmann, Paul ; Haubrock, Jens: Development of a forecast model for the prediction of photovoltaic power using neural networks and validating the model based on real measurement data of a local photovoltaic system. In: 2019 IEEE Milan PowerTech : IEEE, 2019, S. 1–6
HSBI-PUB
| DOI