Thomas Engelmann
2 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
Quakernack, L., Engelmann, T., Haubrock, J., & Vaquet, V. (2024). LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data. In IEEE (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) (pp. 1–5). Dubrovnik, Croatia: IEEE. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863725
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 5723
Engelmann, T., Quakernack, L., & Haubrock, J. (2023). Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems. In IEEE (Ed.), PESS 2023; Power and Energy Student Summit. Bielefeld.
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2 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
Quakernack, L., Engelmann, T., Haubrock, J., & Vaquet, V. (2024). LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data. In IEEE (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) (pp. 1–5). Dubrovnik, Croatia: IEEE. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863725
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 5723
Engelmann, T., Quakernack, L., & Haubrock, J. (2023). Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems. In IEEE (Ed.), PESS 2023; Power and Energy Student Summit. Bielefeld.
HSBI-PUB
| Download (ext.)