PUBLIKATIONSSERVER

Katrin Schulte

18 Publikationen

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[18]
2025 | Artikel | FH-PUB-ID: 5850
Grid-assistive use of private battery energy storage systems based on fuzzy logic
M. Gurcke, M. Cziomer, K. Schulte, J. Haubrock, IET Conference Proceedings 2024 (2025) 697–702.
HSBI-PUB | DOI
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic
L. Quakernack, M. Gurcke, K. Schulte, J. Haubrock, in: IEEE (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 5719
Concept of a test bench for research into automatic resupply to improve the resilience of critical infrastructure
F. Liegmann, K. Schulte, F. Annen, J. Haubrock, M. Kelker, S. Joseph, S. Raczka, C. Rehtanz, in: Institute of Electrical and Electronics Engineers (IEEE) (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[15]
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast
K. Schulte, L. Engel, L. Quakernack, F. Liegmann, J. Haubrock, in: N. Holjevac, T. Baškarad, M. Zidar, I. Kuzle (Eds.), IEEE PES ISGT  Europe 2024 Conference Book, 2024.
HSBI-PUB
 
[14]
2023 | Konferenzbeitrag | FH-PUB-ID: 5561
Control of distributed energy storage systems for minimum reverse flow in a distribution grid with high share of photovoltaic
K. Handel, K. Schulte, R. Rigo-Mariani, J. Haubrock, J. Arens, in: Institute of Electrical and Electronics Engineers (IEEE) (Ed.), 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[13]
2023 | Konferenzbeitrag | FH-PUB-ID: 4359
Comparison of Different Machine Learning Models for Short-Term Load Forecasting at Transformer Level with High Amounts of Photovoltaic Generation
T. Jungh, B. Steinhagen, M. Hesse, K. Schulte, in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[12]
2023 | Konferenzbeitrag | FH-PUB-ID: 4358
Control of distributed energy storage systems for minimum reverse flow in a distribution grid with high share of photovoltaic
K. Handel, K. Schulte, R. Rigo-Mariani, J. Haubrock, J. Arens, in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Optimized photovoltaic power forecast using k-means clustering based error reduction
K. Schulte, L. Engel, L. Quakernack, J. Haubrock, in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[10]
2022 | Konferenzbeitrag | FH-PUB-ID: 3114 | OA
Aufbau eines HIL Teststandes zur Vaildierung von Algorithmen zur Steuerung von Smart Micro Grids
F. Annen, K. Kröger, K. Schulte, J. Haubrock, in: 2022.
HSBI-PUB | Download (ext.)
 
[9]
2021 | Konferenzbeitrag | FH-PUB-ID: 3355
Prediction of the local cloud cover to optimize photovoltaic system power forecast
K. Schulte, O. Runde, M. Kelker, J. Haubrock, in: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), IEEE, 2021, pp. 01–05.
HSBI-PUB | DOI
 
[8]
2021 | Konferenzbeitrag | FH-PUB-ID: 3375
Realization of a power distributing electric vehicle charging system
M. Schwienheer, K. Schulte, K. Kröger, J. Haubrock, in: D. Schulz (Ed.), NEIS 2021. Conference on Sustainable Energy Supply and Energy Storage Systems Hamburg, 13 – 14 September 2021, VDE Verlag GmbH, Berlin, 2021, pp. 249–253.
HSBI-PUB
 
[7]
2021 | Konferenzbeitrag | FH-PUB-ID: 3374
Linear programming to increase the directly used photovoltaic power for charging several electric vehicles
K. Schulte, J. Haubrock, in: 2021 IEEE Madrid PowerTech, IEEE, 2021, pp. 1–6.
HSBI-PUB | DOI
 
[6]
2020 | Konferenzbeitrag | FH-PUB-ID: 3359
Artificial neural networks to predict the node voltages in a low-voltage grid
K. Schulte, M. Kelker, J. Haubrock, in: NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, 2020.
HSBI-PUB
 
[5]
2020 | Konferenzbeitrag | FH-PUB-ID: 3358
Auslegung eines Antriebstranges für einen Batterie-Elektrischen Zug
P. Lohmann, M. Kelker, K. Schulte, J. Haubrock, in: EnInnov 2020; 16. Symposium Energieinnovation, 2020.
HSBI-PUB
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 3354
State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement
M. Kelker, K. Schulte, J. Haubrock, in: NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, 2020.
HSBI-PUB
 
[3]
2020 | Konferenzbeitrag | FH-PUB-ID: 3353 | OA
Entwicklung und Validierung eines optimalen Platzierungsalgorithmus für µPMUS im Niederspannungsnetz
M. Kelker, A. Berrada, K. Schulte, J. Haubrock, in: EnInnov 2020; 16. Symposium Energieinnovation, 2020.
HSBI-PUB | Download (ext.)
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 3351
Development and validation of a neural network for state estimation in the distribution grid based on μPMU data
M. Kelker, K. Schulte, K. Kröger, J. Haubrock, in: 2019 Modern Electric Power Systems (MEPS), IEEE, 2019, pp. 1–6.
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 3350
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
M. Kelker, K. Schulte, D. Hansmeier, F. Annen, K. Kröger, P. Lohmann, J. Haubrock, in: 2019 IEEE Milan PowerTech, IEEE, 2019, pp. 1–6.
HSBI-PUB | DOI
 
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18 Publikationen

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[18]
2025 | Artikel | FH-PUB-ID: 5850
Grid-assistive use of private battery energy storage systems based on fuzzy logic
M. Gurcke, M. Cziomer, K. Schulte, J. Haubrock, IET Conference Proceedings 2024 (2025) 697–702.
HSBI-PUB | DOI
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic
L. Quakernack, M. Gurcke, K. Schulte, J. Haubrock, in: IEEE (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 5719
Concept of a test bench for research into automatic resupply to improve the resilience of critical infrastructure
F. Liegmann, K. Schulte, F. Annen, J. Haubrock, M. Kelker, S. Joseph, S. Raczka, C. Rehtanz, in: Institute of Electrical and Electronics Engineers (IEEE) (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[15]
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast
K. Schulte, L. Engel, L. Quakernack, F. Liegmann, J. Haubrock, in: N. Holjevac, T. Baškarad, M. Zidar, I. Kuzle (Eds.), IEEE PES ISGT  Europe 2024 Conference Book, 2024.
HSBI-PUB
 
[14]
2023 | Konferenzbeitrag | FH-PUB-ID: 5561
Control of distributed energy storage systems for minimum reverse flow in a distribution grid with high share of photovoltaic
K. Handel, K. Schulte, R. Rigo-Mariani, J. Haubrock, J. Arens, in: Institute of Electrical and Electronics Engineers (IEEE) (Ed.), 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[13]
2023 | Konferenzbeitrag | FH-PUB-ID: 4359
Comparison of Different Machine Learning Models for Short-Term Load Forecasting at Transformer Level with High Amounts of Photovoltaic Generation
T. Jungh, B. Steinhagen, M. Hesse, K. Schulte, in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[12]
2023 | Konferenzbeitrag | FH-PUB-ID: 4358
Control of distributed energy storage systems for minimum reverse flow in a distribution grid with high share of photovoltaic
K. Handel, K. Schulte, R. Rigo-Mariani, J. Haubrock, J. Arens, in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Optimized photovoltaic power forecast using k-means clustering based error reduction
K. Schulte, L. Engel, L. Quakernack, J. Haubrock, in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[10]
2022 | Konferenzbeitrag | FH-PUB-ID: 3114 | OA
Aufbau eines HIL Teststandes zur Vaildierung von Algorithmen zur Steuerung von Smart Micro Grids
F. Annen, K. Kröger, K. Schulte, J. Haubrock, in: 2022.
HSBI-PUB | Download (ext.)
 
[9]
2021 | Konferenzbeitrag | FH-PUB-ID: 3355
Prediction of the local cloud cover to optimize photovoltaic system power forecast
K. Schulte, O. Runde, M. Kelker, J. Haubrock, in: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), IEEE, 2021, pp. 01–05.
HSBI-PUB | DOI
 
[8]
2021 | Konferenzbeitrag | FH-PUB-ID: 3375
Realization of a power distributing electric vehicle charging system
M. Schwienheer, K. Schulte, K. Kröger, J. Haubrock, in: D. Schulz (Ed.), NEIS 2021. Conference on Sustainable Energy Supply and Energy Storage Systems Hamburg, 13 – 14 September 2021, VDE Verlag GmbH, Berlin, 2021, pp. 249–253.
HSBI-PUB
 
[7]
2021 | Konferenzbeitrag | FH-PUB-ID: 3374
Linear programming to increase the directly used photovoltaic power for charging several electric vehicles
K. Schulte, J. Haubrock, in: 2021 IEEE Madrid PowerTech, IEEE, 2021, pp. 1–6.
HSBI-PUB | DOI
 
[6]
2020 | Konferenzbeitrag | FH-PUB-ID: 3359
Artificial neural networks to predict the node voltages in a low-voltage grid
K. Schulte, M. Kelker, J. Haubrock, in: NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, 2020.
HSBI-PUB
 
[5]
2020 | Konferenzbeitrag | FH-PUB-ID: 3358
Auslegung eines Antriebstranges für einen Batterie-Elektrischen Zug
P. Lohmann, M. Kelker, K. Schulte, J. Haubrock, in: EnInnov 2020; 16. Symposium Energieinnovation, 2020.
HSBI-PUB
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 3354
State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement
M. Kelker, K. Schulte, J. Haubrock, in: NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, 2020.
HSBI-PUB
 
[3]
2020 | Konferenzbeitrag | FH-PUB-ID: 3353 | OA
Entwicklung und Validierung eines optimalen Platzierungsalgorithmus für µPMUS im Niederspannungsnetz
M. Kelker, A. Berrada, K. Schulte, J. Haubrock, in: EnInnov 2020; 16. Symposium Energieinnovation, 2020.
HSBI-PUB | Download (ext.)
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 3351
Development and validation of a neural network for state estimation in the distribution grid based on μPMU data
M. Kelker, K. Schulte, K. Kröger, J. Haubrock, in: 2019 Modern Electric Power Systems (MEPS), IEEE, 2019, pp. 1–6.
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 3350
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
M. Kelker, K. Schulte, D. Hansmeier, F. Annen, K. Kröger, P. Lohmann, J. Haubrock, in: 2019 IEEE Milan PowerTech, IEEE, 2019, pp. 1–6.
HSBI-PUB | DOI
 
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