Reducing forecast errors of a day-ahead photovoltaic power forecast by ensemble learning
K. Schulte, A. Ebenzer Anitha, J. Haubrock, in: 2025 IEEE Kiel PowerTech, IEEE, 2025, pp. 1–6.

Impacts of Energy Tariff Structures in Home Battery Energy Storage System Controls on Low-Voltage Grids
K. Handel, K. Schulte, L. Quakernack, R. Rigo-Mariani, J. Haubrock, in: 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), IEEE, 2025, pp. 1–5.

Impact of Global Price Signals on Local Low-Voltage Grids
M. Gurcke, L. Quakernack, K. Schulte, J. Haubrock, in: 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), IEEE, 2025, pp. 1–5.

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.

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.

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.

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. Baskarad, M. Zidar, I. Kuzle (Eds.), IEEE PES ISGT  Europe 2024 Conference Book, 2024.

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.

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.

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.

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.

Aufbau eines HIL Teststandes zur Vaildierung von Algorithmen zur Steuerung von Smart Micro Grids
F. Annen, K. Kröger, K. Schulte, J. Haubrock, in: 2022.

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.

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.

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.

Maximierung des Anteils erneuerbarer Energien zum Betrieb eines batterieelektrischen Zuges durch Auslegung eines Stationären Batteriespeichers
P. Lohmann, M. Kelker, K. Schulte, J. Haubrock, in: EnInnov 2020; 16. Symposium Energieinnovation, 2020.

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.

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.

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.

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.