Thomas Engelmann
8 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6577
J. Giebeler, T. Engelmann, and J. Haubrock, “Analysis of low voltage grid state estimation with limited measurement devices,” in PESS 2024 – IEEE Power and Energy Student Summit, Dresden, 2025.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 6529
L. Quakernack, T. Engelmann, and J. Haubrock, “Modeling distribution grids of the future: Importance of the scenario frameworks for the grid development plan in low voltage grids,” presented at the ETG Kongress 2025, Kassel, 2025.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
L. Quakernack, T. Engelmann, J. Haubrock, and V. Vaquet, “LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 5723
T. Engelmann, L. Quakernack, and J. Haubrock, “Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems,” in PESS 2023; Power and Energy Student Summit, Bielefeld, 2023.
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8 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6577
J. Giebeler, T. Engelmann, and J. Haubrock, “Analysis of low voltage grid state estimation with limited measurement devices,” in PESS 2024 – IEEE Power and Energy Student Summit, Dresden, 2025.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 6529
L. Quakernack, T. Engelmann, and J. Haubrock, “Modeling distribution grids of the future: Importance of the scenario frameworks for the grid development plan in low voltage grids,” presented at the ETG Kongress 2025, Kassel, 2025.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
L. Quakernack, T. Engelmann, J. Haubrock, and V. Vaquet, “LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 5723
T. Engelmann, L. Quakernack, and J. Haubrock, “Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems,” in PESS 2023; Power and Energy Student Summit, Bielefeld, 2023.
HSBI-PUB
| Download (ext.)