PUB - Publikationen an der Universität Bielefeld

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• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987581

  T. Jungh, et al., “Comparison of Different Machine Learning Models for Short-Term Load Forecasting at Transformer Level with High Amounts of Photovoltaic Generation”, 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Piscataway, NJ: IEEE, 2023, pp.1-5.

  PUB | DOI
   
• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984934

  K. Penner, et al., “TinyML optimization for activity classification on the resource-constrained body sensor BI-Vital”, 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), IEEE, 2023, pp.1-4.

  PUB | DOI | Download (ext.)
   
• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982608

  B. Steinhagen, et al., “Evaluation of the Usage of Edge Computing and LoRa for the Control of Electric Vehicle Charging in the Low Voltage Grid”, 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East). proceedings, Piscataway, NJ: IEEE, 2023, pp.1-5.

  PUB | DOI
   
• [2]
  

  2020 | Datenpublikation | PUB-ID: 2943719

  C. Lian Sang, et al., Supplementary Research Data for the Paper entitled Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods, Bielefeld University, 2020.

  PUB | Dateien verfügbar | DOI
   
• [1]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2943046

  C. Lian Sang, et al., “Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods”, Applied Sciences, vol. 10, 2020, : 3980.

  PUB | PDF | DOI | Download (ext.) | WoS | Preprint