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8 Publikationen

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[8]
2025 | Konferenzbeitrag | FH-PUB-ID: 6577
Giebeler, J., Engelmann, T., & Haubrock, J. (2025). Analysis of low voltage grid state estimation with limited measurement devices. In Technische Universität Dresden; IEEE PES Germany Chapter (Ed.) (Ed.), PESS 2024 – IEEE Power and Energy Student Summit. Dresden.
HSBI-PUB
 
[7]
2025 | Konferenzbeitrag | FH-PUB-ID: 6529
Quakernack, L., Engelmann, T., & Haubrock, J. (2025). Modeling distribution grids of the future: Importance of the scenario frameworks for the grid development plan in low voltage grids. In VDE (Ed.). Presented at the ETG Kongress 2025, Kassel: VDE Verlag.
HSBI-PUB
 
[6]
2025 | Konferenzbeitrag | FH-PUB-ID: 6525
Quakernack, L., Engelmann, T., Haubrock, J., Ye, W., Zhang, P., Röhrenbeck, S., … Übermasser, S. (2025). Autonomous AI for cellular energy systems increasing flexibilities provided by sector coupling and distributed storage. In 2025 IEEE Kiel PowerTech (pp. 1–6). Kiel, Germany: IEEE. https://doi.org/10.1109/PowerTech59965.2025.11180740
HSBI-PUB | DOI
 
[5]
2025 | Konferenzbeitrag | FH-PUB-ID: 6522
Engelmann, T., Quakernack, L., & Haubrock, J. (2025). Load Forecasting in Cellular Low-Voltage Grids for Day-Ahead Optimization Using Ensemble Learning. In 2025 IEEE Kiel PowerTech (pp. 1–6). Kiel, Germany: IEEE. https://doi.org/10.1109/PowerTech59965.2025.11180432
HSBI-PUB | DOI
 
[4]
2025 | Konferenzbeitrag | FH-PUB-ID: 6527
Quakernack, L., Engelmann, T., & Haubrock, J. (2025). Forecast Errors and Their Impact in Managing Cellular Low-voltage Grids. In 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) (pp. 1–5). Valletta, Malta: IEEE. https://doi.org/10.1109/ISGTEurope64741.2025.11305550
HSBI-PUB | DOI
 
[3]
2025 | Konferenzbeitrag | FH-PUB-ID: 6526
Engelmann, T., Quakernack, L., & Haubrock, J. (2025). Data-driven Day-ahead Load Classification For Capacity Planning. In 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) (pp. 1–5). Valletta, Malta: IEEE. https://doi.org/10.1109/ISGTEurope64741.2025.11305555
HSBI-PUB | DOI
 
[2]
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
 
[1]
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.)
 

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8 Publikationen

Alle markieren

[8]
2025 | Konferenzbeitrag | FH-PUB-ID: 6577
Giebeler, J., Engelmann, T., & Haubrock, J. (2025). Analysis of low voltage grid state estimation with limited measurement devices. In Technische Universität Dresden; IEEE PES Germany Chapter (Ed.) (Ed.), PESS 2024 – IEEE Power and Energy Student Summit. Dresden.
HSBI-PUB
 
[7]
2025 | Konferenzbeitrag | FH-PUB-ID: 6529
Quakernack, L., Engelmann, T., & Haubrock, J. (2025). Modeling distribution grids of the future: Importance of the scenario frameworks for the grid development plan in low voltage grids. In VDE (Ed.). Presented at the ETG Kongress 2025, Kassel: VDE Verlag.
HSBI-PUB
 
[6]
2025 | Konferenzbeitrag | FH-PUB-ID: 6525
Quakernack, L., Engelmann, T., Haubrock, J., Ye, W., Zhang, P., Röhrenbeck, S., … Übermasser, S. (2025). Autonomous AI for cellular energy systems increasing flexibilities provided by sector coupling and distributed storage. In 2025 IEEE Kiel PowerTech (pp. 1–6). Kiel, Germany: IEEE. https://doi.org/10.1109/PowerTech59965.2025.11180740
HSBI-PUB | DOI
 
[5]
2025 | Konferenzbeitrag | FH-PUB-ID: 6522
Engelmann, T., Quakernack, L., & Haubrock, J. (2025). Load Forecasting in Cellular Low-Voltage Grids for Day-Ahead Optimization Using Ensemble Learning. In 2025 IEEE Kiel PowerTech (pp. 1–6). Kiel, Germany: IEEE. https://doi.org/10.1109/PowerTech59965.2025.11180432
HSBI-PUB | DOI
 
[4]
2025 | Konferenzbeitrag | FH-PUB-ID: 6527
Quakernack, L., Engelmann, T., & Haubrock, J. (2025). Forecast Errors and Their Impact in Managing Cellular Low-voltage Grids. In 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) (pp. 1–5). Valletta, Malta: IEEE. https://doi.org/10.1109/ISGTEurope64741.2025.11305550
HSBI-PUB | DOI
 
[3]
2025 | Konferenzbeitrag | FH-PUB-ID: 6526
Engelmann, T., Quakernack, L., & Haubrock, J. (2025). Data-driven Day-ahead Load Classification For Capacity Planning. In 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) (pp. 1–5). Valletta, Malta: IEEE. https://doi.org/10.1109/ISGTEurope64741.2025.11305555
HSBI-PUB | DOI
 
[2]
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
 
[1]
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.)
 

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