TU Wien Informatics

20 Years

Role

  • Reference Model for Building Automation / Pannosch, J., & Kastner, W. (2023). Reference Model for Building Automation. In 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1–4). IEEE. https://doi.org/10.1109/ETFA54631.2023.10275528
    Project: openBAM (2021–2024)
  • KNX-IoT Digital Twin / Pannosch, J., & Steindl, G. (2023). KNX-IoT Digital Twin. In Presentation and Papers KNX Scientific Conference 2023. KNX Scientific Partnership Conference 2023, Barcelona, Spain. http://hdl.handle.net/20.500.12708/191934
    Project: AFOM (2021–2024)
  • Smart Homes: Wie sicher sind sie und wie lassen sie sich schützen? / Pannosch, J. (2022, July 19). Smart Homes: Wie sicher sind sie und wie lassen sie sich schützen? [Interview]. A-SIT Zentrum für sichere Informationstechnologie – Austria. http://hdl.handle.net/20.500.12708/192254
  • Decentralized Management Framework for heterogeneous Devices in FM / Preindl, T., Pannosch, J., Kastner, W., Redlein, A., & Baretschneider, C. (2021). Decentralized Management Framework for heterogeneous Devices in FM. Journal Für Facility Management, WIEN(21), 26–38. http://hdl.handle.net/20.500.12708/138387
  • Reliable data forecasting for building automation systems / Pannosch, J. (2018). Reliable data forecasting for building automation systems [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.37417
    Download: PDF (4.19 MB)
  • Adaptive learning-based time series prediction framework for building energy management / Schachinger, D., Pannosch, J., & Kastner, W. (2018). Adaptive learning-based time series prediction framework for building energy management. In 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES). IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES 2018), Hamilton, New Zealand, Non-EU. IEEE. https://doi.org/10.1109/ieses.2018.8349919