PUBLIKATIONSSERVER

Katrin Schulte

18 Publikationen

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[18]
2025 | Artikel | FH-PUB-ID: 5850
Gurcke M, Cziomer M, Schulte K, Haubrock J. Grid-assistive use of private battery energy storage systems based on fuzzy logic. IET Conference Proceedings. 2025;2024(29):697-702. doi:10.1049/icp.2024.4742
HSBI-PUB | DOI
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Quakernack L, Gurcke M, Schulte K, Haubrock J. Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic. In: IEEE, ed. 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE; 2024:1-5. doi:10.1109/ISGTEUROPE62998.2024.10863623
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 5719
Liegmann F, Schulte K, Annen F, et al. 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), ed. 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE; 2024:1-5. doi:10.1109/ISGTEUROPE62998.2024.10863253
HSBI-PUB | DOI
 
[15]
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
Schulte K, Engel L, Quakernack L, Liegmann F, Haubrock J. 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, eds. IEEE PES ISGT  Europe 2024 Conference Book. ; 2024.
HSBI-PUB
 
[14]
2023 | Konferenzbeitrag | FH-PUB-ID: 5561
Handel K, Schulte K, Rigo-Mariani R, Haubrock J, Arens J. 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), ed. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE; 2023:1-5. doi:10.1109/ISGTEUROPE56780.2023.10408443
HSBI-PUB | DOI
 
[13]
2023 | Konferenzbeitrag | FH-PUB-ID: 4359
Jungh T, Steinhagen B, Hesse M, Schulte K. 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; 2023:1-5. doi:10.1109/ISGTEUROPE56780.2023.10407216
HSBI-PUB | DOI
 
[12]
2023 | Konferenzbeitrag | FH-PUB-ID: 4358
Handel K, Schulte K, Rigo-Mariani R, Haubrock J, Arens J. 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; 2023:1-5. doi:10.1109/ISGTEUROPE56780.2023.10408443
HSBI-PUB | DOI
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Schulte K, Engel L, Quakernack L, Haubrock J. Optimized photovoltaic power forecast using k-means clustering based error reduction. In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE; 2023:1-5. doi:10.1109/ISGTEUROPE56780.2023.10407521
HSBI-PUB | DOI
 
[10]
2022 | Konferenzbeitrag | FH-PUB-ID: 3114 | OA
Annen F, Kröger K, Schulte K, Haubrock J. Aufbau eines HIL Teststandes zur Vaildierung von Algorithmen zur Steuerung von Smart Micro Grids. In: ; 2022.
HSBI-PUB | Download (ext.)
 
[9]
2021 | Konferenzbeitrag | FH-PUB-ID: 3355
Schulte K, Runde O, Kelker M, Haubrock J. Prediction of the local cloud cover to optimize photovoltaic system power forecast. In: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe). IEEE; 2021:01-05. doi:10.1109/ISGTEurope52324.2021.9640074
HSBI-PUB | DOI
 
[8]
2021 | Konferenzbeitrag | FH-PUB-ID: 3375
Schwienheer M, Schulte K, Kröger K, Haubrock J. Realization of a power distributing electric vehicle charging system. In: Schulz D, ed. NEIS 2021. Conference on Sustainable Energy Supply and Energy Storage Systems Hamburg, 13 – 14 September 2021. Berlin: VDE Verlag GmbH; 2021:249-253.
HSBI-PUB
 
[7]
2021 | Konferenzbeitrag | FH-PUB-ID: 3374
Schulte K, Haubrock J. Linear programming to increase the directly used photovoltaic power for charging several electric vehicles. In: 2021 IEEE Madrid PowerTech. IEEE; 2021:1-6. doi:10.1109/PowerTech46648.2021.9494914
HSBI-PUB | DOI
 
[6]
2020 | Konferenzbeitrag | FH-PUB-ID: 3359
Schulte K, Kelker M, Haubrock J. 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
 
[5]
2020 | Konferenzbeitrag | FH-PUB-ID: 3358
Lohmann P, Kelker M, Schulte K, Haubrock J. Auslegung eines Antriebstranges für einen Batterie-Elektrischen Zug. In: EnInnov 2020; 16. Symposium Energieinnovation. ; 2020.
HSBI-PUB
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 3354
Kelker M, Schulte K, Haubrock J. 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
 
[3]
2020 | Konferenzbeitrag | FH-PUB-ID: 3353 | OA
Kelker M, Berrada A, Schulte K, Haubrock J. Entwicklung und Validierung eines optimalen Platzierungsalgorithmus für µPMUS im Niederspannungsnetz. In: EnInnov 2020; 16. Symposium Energieinnovation. ; 2020.
HSBI-PUB | Download (ext.)
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 3351
Kelker M, Schulte K, Kröger K, Haubrock J. 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; 2019:1-6. doi:10.1109/MEPS46793.2019.9394975
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 3350
Kelker M, Schulte K, Hansmeier D, et al. 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; 2019:1-6. doi:10.1109/PTC.2019.8810719
HSBI-PUB | DOI
 
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18 Publikationen

Alle markieren

[18]
2025 | Artikel | FH-PUB-ID: 5850
Gurcke M, Cziomer M, Schulte K, Haubrock J. Grid-assistive use of private battery energy storage systems based on fuzzy logic. IET Conference Proceedings. 2025;2024(29):697-702. doi:10.1049/icp.2024.4742
HSBI-PUB | DOI
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Quakernack L, Gurcke M, Schulte K, Haubrock J. Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic. In: IEEE, ed. 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE; 2024:1-5. doi:10.1109/ISGTEUROPE62998.2024.10863623
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 5719
Liegmann F, Schulte K, Annen F, et al. 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), ed. 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE; 2024:1-5. doi:10.1109/ISGTEUROPE62998.2024.10863253
HSBI-PUB | DOI
 
[15]
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
Schulte K, Engel L, Quakernack L, Liegmann F, Haubrock J. 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, eds. IEEE PES ISGT  Europe 2024 Conference Book. ; 2024.
HSBI-PUB
 
[14]
2023 | Konferenzbeitrag | FH-PUB-ID: 5561
Handel K, Schulte K, Rigo-Mariani R, Haubrock J, Arens J. 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), ed. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE; 2023:1-5. doi:10.1109/ISGTEUROPE56780.2023.10408443
HSBI-PUB | DOI
 
[13]
2023 | Konferenzbeitrag | FH-PUB-ID: 4359
Jungh T, Steinhagen B, Hesse M, Schulte K. 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; 2023:1-5. doi:10.1109/ISGTEUROPE56780.2023.10407216
HSBI-PUB | DOI
 
[12]
2023 | Konferenzbeitrag | FH-PUB-ID: 4358
Handel K, Schulte K, Rigo-Mariani R, Haubrock J, Arens J. 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; 2023:1-5. doi:10.1109/ISGTEUROPE56780.2023.10408443
HSBI-PUB | DOI
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Schulte K, Engel L, Quakernack L, Haubrock J. Optimized photovoltaic power forecast using k-means clustering based error reduction. In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE; 2023:1-5. doi:10.1109/ISGTEUROPE56780.2023.10407521
HSBI-PUB | DOI
 
[10]
2022 | Konferenzbeitrag | FH-PUB-ID: 3114 | OA
Annen F, Kröger K, Schulte K, Haubrock J. Aufbau eines HIL Teststandes zur Vaildierung von Algorithmen zur Steuerung von Smart Micro Grids. In: ; 2022.
HSBI-PUB | Download (ext.)
 
[9]
2021 | Konferenzbeitrag | FH-PUB-ID: 3355
Schulte K, Runde O, Kelker M, Haubrock J. Prediction of the local cloud cover to optimize photovoltaic system power forecast. In: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe). IEEE; 2021:01-05. doi:10.1109/ISGTEurope52324.2021.9640074
HSBI-PUB | DOI
 
[8]
2021 | Konferenzbeitrag | FH-PUB-ID: 3375
Schwienheer M, Schulte K, Kröger K, Haubrock J. Realization of a power distributing electric vehicle charging system. In: Schulz D, ed. NEIS 2021. Conference on Sustainable Energy Supply and Energy Storage Systems Hamburg, 13 – 14 September 2021. Berlin: VDE Verlag GmbH; 2021:249-253.
HSBI-PUB
 
[7]
2021 | Konferenzbeitrag | FH-PUB-ID: 3374
Schulte K, Haubrock J. Linear programming to increase the directly used photovoltaic power for charging several electric vehicles. In: 2021 IEEE Madrid PowerTech. IEEE; 2021:1-6. doi:10.1109/PowerTech46648.2021.9494914
HSBI-PUB | DOI
 
[6]
2020 | Konferenzbeitrag | FH-PUB-ID: 3359
Schulte K, Kelker M, Haubrock J. 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
 
[5]
2020 | Konferenzbeitrag | FH-PUB-ID: 3358
Lohmann P, Kelker M, Schulte K, Haubrock J. Auslegung eines Antriebstranges für einen Batterie-Elektrischen Zug. In: EnInnov 2020; 16. Symposium Energieinnovation. ; 2020.
HSBI-PUB
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 3354
Kelker M, Schulte K, Haubrock J. 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
 
[3]
2020 | Konferenzbeitrag | FH-PUB-ID: 3353 | OA
Kelker M, Berrada A, Schulte K, Haubrock J. Entwicklung und Validierung eines optimalen Platzierungsalgorithmus für µPMUS im Niederspannungsnetz. In: EnInnov 2020; 16. Symposium Energieinnovation. ; 2020.
HSBI-PUB | Download (ext.)
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 3351
Kelker M, Schulte K, Kröger K, Haubrock J. 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; 2019:1-6. doi:10.1109/MEPS46793.2019.9394975
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 3350
Kelker M, Schulte K, Hansmeier D, et al. 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; 2019:1-6. doi:10.1109/PTC.2019.8810719
HSBI-PUB | DOI
 
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Zitationsstil: AMA

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