Bastian Steinhagen
bsteinhagen@techfak.uni-bielefeld.dehttps://orcid.org/0000-0002-7905-513X
PEVZ-ID
5 Publikationen
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987581Jungh, T., Steinhagen, B., Hesse, M., & Schulte, K. (2023). 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), 1-5. Piscataway, NJ: IEEE. https://doi.org/10.1109/ISGTEUROPE56780.2023.10407216
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984934Penner, K., Wittenfeld, F., Steinhagen, B., Hesse, M., & Rückert, U. (2023). TinyML optimization for activity classification on the resource-constrained body sensor BI-Vital. 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4. IEEE. https://doi.org/10.1109/BSN58485.2023.10330937
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982608Steinhagen, B., Jungh, T., Hesse, M., Rückert, U., Quakernack, L., Kelker, M., & Haubrock, J. (2023). 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, 1-5. Piscataway, NJ: IEEE. https://doi.org/10.1109/ISGTMiddleEast56437.2023.10078593
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2020 | Datenpublikation | PUB-ID: 2943719Lian Sang, C., Steinhagen, B., Homburg, J. D., Adams, M., Hesse, M., & Rückert, U. (2020). Supplementary Research Data for the Paper entitled Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods. Bielefeld University. https://doi.org/10.4119/unibi/2943719
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2943046Lian Sang, C., Steinhagen, B., Homburg, J. D., Adams, M., Hesse, M., & Rückert, U. (2020). Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods. Applied Sciences, 10(11), 3980. https://doi.org/10.3390/app10113980