M.Sc. Steven de Jongh

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Abgeschlossene Arbeiten
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Pingda Shen

Tomás López

Victor Weise

Xuanhao Mu

Lea Braun

Hongfei Li

Boyana Georgieva

Yamen Guermazi

Linus Thrän

Haoze Song

Gökhan Demirel

Anna Hlawatsch

David Freund

Fabian Osterberg

Fares Kallel

Baha Hashim

Emiliano Aldrett

Songtao Xu

Mohamed Mezghanni

Luis Jordan

Haiwei Liang

Ala Eddine Yacoub

Loris Schmit

Firas Moatemri

Veröffentlichungen


Zeitschriftenaufsätze
Time-Domain Dynamic State Estimation for Three-Phase Power Systems
Pfeifer, M.; Müller, F.; Jongh, S. de; Gielnik, F.; Leibfried, T.; Hohmann, S.
2022. Journal of modern power systems and clean energy
Proceedingsbeiträge
Case Study with Comparison of Home Energy Optimization and Control Algorithms
Mueller, F.; Jongh, S. de; Mu, X.; Suriyah, M.; Leibfried, T.
2022. CIRED Porto Workshop 2022 E-mobility and power distribution systems, Porto, Portugal, 2-3 Juni 2022
Impact of Dynamic Wind Power Feed-In on the Storage Capacity of the German Gas Transmission Grid
Mueller, F.; Jongh, S. de; Mu, X.; Held, L.; Suriyah, M.; Leibfried, T.
2021. International Conference and Exhibition on Electricity Distribution (CIRED 2021). doi:10.1049/icp.2021.1498
Towards the explicit dynamic modeling of distribution grids in the time-domain
Gielnik, F.; Mueller, F.; Jongh, S.; Pfeifer, M.; Suriyah, M.; Hohmann, S.; Leibfried, T.
2021. CIRED 2021 Geneve (CIRED 2021), 20-23 September 2021, 1400–1404, Institution of Engineering and Technology (IET)
Neural Predictive Control for the Optimization of Smart Grid Flexibility Schedules
Jongh, S. de; Steinle, S.; Hlawatsch, A.; Mueller, F.; Suriyah, M.; Leibfried, T.
2021. 56th International Universities Power Engineering Conference (UPEC), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC50034.2021.9548179
Machine-learning-based Bayesian state estimation in electrical energy systems
Jongh, S. de; Mueller, F.; Li, H.; Georgieva, B.; Suriyah, M.; Leibfried, T.
2021. CIRED 2020 Berlin Workshop (CIRED 2020), 22-23 September 2020, 341–344, Institution of Engineering and Technology (IET). doi:10.1049/oap-cired.2021.0053
Spatio-Temporal Short Term Photovoltaic Generation Forecasting with Uncertainty Estimates using Machine Learning Methods
Jongh, S. de; Riedel, T.; Mueller, F.; Yacoub, A. E.; Suriyah, M.; Leibfried, T.
2020. 2020 55th International Universities Power Engineering Conference (UPEC), Torino, Italy, 1-4 Sept. 2020, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC49904.2020.9209764
Congestion Management of the German Transmission Grid through Sector Coupling: A Modeling Approach
Mueller, F.; Hentschel, P.; Jongh, S. de; Held, L.; Suriyah, M.; Leibried, T.
2020. 55th International Universities Power Engineering Conference (UPEC). 2020, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC49904.2020.9209822
Machine learning based state-estimation in sector coupled energy distribution systems
Jongh, S. de; Müller, F.; Georgieva, B.; Suriyah, M.; Leibfried, T.
2019. 5th International Conference on Smart Energy Systems in Copenhagen, on 10-11 September 2019. Aalborg Universitet. Book of Abstracts. Ed.: H. Lund, 232
Comparison of multi-timestep Optimization Methods for Gas Distribution Grids
Müller, F.; Zimmerlin, M.; Jongh, S. de; Suriyah, M. R.; Leibfried, T.
2019. 2019 54th International Universities Power Engineering Conference (UPEC): Proceedings, 3-6 September 2019, Bucharest, Romania, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC.2019.8893536