Jürgen Pannosch
Projektass. Dipl.-Ing. / BSc
Role
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PreDoc Researcher
Automation Systems, E191-03
Courses
2024W
- Computer Engineering Practical / 191.005 / PR
- Computer Engineering Project / 191.006 / PR
- Home and Building Automation / 183.624 / VU
- Project in Computer Science 1 / 191.008 / PR
- Project in Computer Science 2 / 191.009 / PR
- Scientific Project Computer Engineering / 191.007 / PR
Projects
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Unleashing Sector-coupling Flexibility by means of an Energy Data Space
2023 – 2027 / Austrian Research Promotion Agency (FFG) -
Demonstration of a participatory renewable energy community to enhance resilience
2021 – 2025 / Austrian Research Promotion Agency (FFG)
Publications: 188166 / 188275 / 188530 / 188415 / 193242 / 193244 -
Open Building Automation Modeling - Open modeling of building automation over the entire building life cycle
2021 – 2024 / Austrian Research Promotion Agency (FFG)
Publications: 153165 / 189687 / 193999 / 204052 / 205729 -
eywa: distributed power intelligence
2017 – 2018 / Vienna Business Agency (WAW)
Publications
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Towards Open Modeling of Building Automation over the entire building life cycle
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Sint, S., Knorr, F., Pannosch, J., Kromp Jürgen, & Bednar, T. (2024). Towards Open Modeling of Building Automation over the entire building life cycle. In T. Bednar & S. Sint (Eds.), BauSIM 2024 Companion Proceedings : 10te Konferenz von IBPSA-DACH, TU Wien, Österreich (pp. 34–34). https://doi.org/10.34726/7560
Download: Posterbeitrag (1.16 MB)
Project: openBAM (2021–2024) -
A Model-Driven Approach for Consistent Building Automation Control Logic Design and Deployment
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Knorr, F., Pannosch, J., & Steindl, G. (2024). A Model-Driven Approach for Consistent Building Automation Control Logic Design and Deployment. In 2024 International Conference on Control, Automation and Diagnosis (ICCAD). 2024 International Conference on Control, Automation and Diagnosis (ICCAD), Paris, France. https://doi.org/10.1109/ICCAD60883.2024.10553923
Project: openBAM (2021–2024) -
Reference Model for Building Automation
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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
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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
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Reliable data forecasting for building automation systems
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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
Supervisions
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Improving energy community interoperability: a web of things approach
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Esterbauer, L. (2022). Improving energy community interoperability: a web of things approach [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.92304
Download: PDF (1.82 MB)