Thomas Engelmann
2 Publikationen
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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2 Publikationen
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.)