Publications
2025
- S. Niederhofer, M. Rennhofer and R. Hofmann, Risk analysis of coupled PV-electrolyser systems, Renewable Energy (2025)
- Wallner, S., Vouk, T., Siebenhofer, D., Kienberger, T.: Locating and dispatching flexibility in spatially resolved energy system models: a case study of Austria. Elektrotech. Inftech. (2025). doi:10.1007/s00502-025-01344-y
- Wallner, S., Vouk, T., Kienberger, T, Meixner, M..: Evaluating the Impact of Spatial Clustering Methods on Power System Modelling. 20th Conference on Sustainable Development of Energy, Water and Environment Systems (2025), Dubrovnik, Croatia.
- Klaassen, C., Steindl, G., Kasper, L. & Hofmann, R.: A Meta-Framework for Virtual Entities Within Digital Twins: Better Understanding for Stakeholders and Technologies, IEEE Access (2025), pp. 127476–127489, doi: 10.1109/ACCESS.2025.3589787
- M. Zebenholzer, L. Kasper, A. Schirrer, R. Hofmann, Optimal Energy Scheduling for Battery and Hydrogen Storage Systems Using Reinforcement Learning, Ghent, Belgium, 2025, pp. 1201–1207. doi:10.69997/sct.134052
2024
- Fellner, D., Strasser, T., & Kastner, W. (2024). Chapter Twelve - Misconfiguration detection of inverter-based units in power distribution grids using machine learning. in R. Arghandeh, & Y. Zhou (Hrsg.), Big Data Application in Power Systems (Second Edition) Second Edition Aufl., S. 269-292). Elsevier BV. doi:10.1016/B978-0-443-21524-7.00009-8
- Klaassen, C., Thoma, M. A., Steindl, G., Amiri, A., Kasper, L. & Hofmann, R.: Semantic Annotation of System Models for Generating RDF Runtime Models, 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN), pp. 1–6, doi: 10.1109/INDIN58382.2024.10774513
- Wallner, S. & Kienberger, T.: Integrating Flexibility in a High-Resolution Energy System Model of Austria, (2024) Abstract von 19th Conference on Sustainable Development of Energy, Water and Environment Systems, Rome, Italy.
- C. Klaassen, L. Kasper and R. Hofmann, Mapping SysML v2 to NGSI-LD: Enhancing Energy Systems Modeling, 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES), Vienna, Austria, 2024, pp. 1-7, doi: 10.1109/OSMSES62085.2024.10668973.
- Niederhofer, S., Rennhofer, M. & Hofmann R. (2024) Reliability Analysis of Coupled PV-Electrolyser Systems – Evaluation of Onsite Factors. Conference Paper EU PVSEC2024, Vienna, Austria
- Zechner, N., Birkelbach, F., Schwarzmayr, P., & Hofmann, R. (2024, July). Determination of heat transfer coefficients in wood-based panel finishing [Conference Presentation]. 17th International Conference on Advanced Computational Engineering and Experimenting (ACEX2024), Barcelona, Spain.
- Zawodnik V., Schwaiger, F., Sorger, C., & Kienberger, T., (2024). Tackling Uncertainty: Forecasting the Energy Consumption and Demand of an Electric Arc Furnace with Limited Knowledge on Process Parameters. In Energies, 17, 1326, DOI: 10.3390/en17061326
- Zawodnik, V., Pfleger, J., Pfleger-Schopf, K., Zaversky, M., & Kienberger, T., (2024). Strategische Flexibilität im Fokus: Eine qualitative Analyse energieintensiver Industriestandorte in Österreich. Im Tagungsband der EnInnov 2024, Graz, Austria.
- Pfleger, J., Reiter, J., & Zawodnik, V., (2024). Demand Side Management: Entscheidung leicht gemacht. In Öko+: Das Fachmagazin für Ökonomie + Ökologie, 1, S. 38-39 und EW: Magazin für Energie-Wirtschaft, 3, S. 10.
Publication records
- Wallner, S. & Steinegger, J.: Multienergiesystemmodellierung von energieträgerübergreifender Netzinfrastruktur, (2023) Poster von 60. OVE-Energietechnik-Tagung, Klagenfurt, Austria.
- Zechner, N., Birkelbach, F., & Hofmann, R. (2023). Modeling the thermal processes in a short cycle press to improve product quality. In Proceedings of the International Panel Products Symposium 2023 (pp. 129–138).
- Fellner, D., Strasser, T. I., Kastner, W., Behnam, F. & Abdulhadi, I. F.: An Operational Data-Driven Malfunction Detection Framework for Enhanced Power Distribution System Monitoring – The DeMaDs Approach , 12 Juni 2023, CIRED Conference Proceedings. 5 S.
- Fellner, D., Strasser, T. I. & Kastner, W.: Data-Driven Misconfiguration Detection in Power Systems with Transformer Profile Disaggregation, 31 Juli 2023, in: IEEE Access. 11, S. 80123 - 80136 14 S.
- Fellner, D., Strasser, T. & Kastner, W.: The DeMaDs Open Source Modeling Framework for Power System Malfunction Detection , 5 Apr. 2023, Proceedings. Aachen, Germany, 6 S.
- Zawodnik, V., Kienberger, T., & Kriechbaum, L.: Driving Efficiency and Sustainability in Electric Steel Industry: Development of an Energy Prognosis Tool, (2023) Abstract von 18th Conference on Sustainable Development of Energy, Water and Environment Systems, Dubrovnik, Kroatien.
- Zawodnik, V., & Kienberger, T. Prognosemodellierung des Energiebedarfs eines Elektrolichtbogenofens: Die Herausforderung im Umgang mit begrenztem Wissen. Abstract von IEWT 2023, Wien
- Fellner, D., Strasser, T. & Kastner, W.: Applying Deep Learning-based concepts for the detection of device misconfigurations in power systems, 2022, in: Sustainable Energy, Grids and Networks. 32, 12 S.
- Fellner, D., Strasser, T., Kastner, W., Behnam, F. & Abdulhadi, I. F.: Data Driven Transformer Level Misconfiguration Detection in Power Distribution Grids, 2022, Proceedings of 2022 IEEE International
- Zawodnik, V., Kienberger, T., Halbwirth, S., & Gradl, P. (2022). The Role of Forecasting Energy Consumption and Demand in the Iron and Steel Industry: By the Example of an Electric Arc Furnace. in Conference Proceedings New Energy for Industry 2022 NEFI New Energy For Industry.
- Birkelbach, F., Fluch, J., Jentsch, R., Kasper, L., Knapp, A., Knöttner, S., Zawodnik, V., Banasiak, D., Kurz, T., Schwarzmayr, P., & Sharma, E. (2022). Existing Digital Twin Solutions: Report on questionnaire.
- Birkelbach, F., Fluch, J., Jentsch, R., Kasper, L., Knapp, A., Knöttner, S., Zawodnik, V., Kurz, T., Banasiak, D., Schwarzmayr, P., Sharma, E., Tahir, A. J., & Tugores, C. R. (2022). Digital Twins: Terms & Definitions.
- Zawodnik, V. (2022). DSM_OPT: Betriebsoptimierung für industrielle Energiesysteme. Energy innovation Austria: aktuelle Entwicklungen und Beispiele für zukunftsfähige Energietechnologien, Bundesministerium für Verkehr, Innovation und Technologie, 2022, 12-13.
- Fellner, D., Strasser, T. & Kastner, W.: Detection of Misconfigurations in Power Distribution Grids using Deep Learning, 2021, Proceedings of the 2021 International Conference on Smart Energy Systems and Technologies (SEST). 5 S.
- Herbst, D., Schürhuber, R., Henein, S., Zehetbauer, P., Fellner, D., Einfalt, A., Schmautzer, E. & Fickert, L.: Entwicklung und Evaluierung eines Algorithmus zur automatisierten Rekonfiguration von Niederspannungsnetzen, 2021, in: e&i elektrotechnik und informationstechnik. S. 525-537 13 S.
- Fellner, D.: Data Driven Detection of Malfunctions in Power Systems, 2020, in: Energy Informatics 2020. S. 22-24 3 S.
- Fellner, D., Brunner, H., Strasser, T. & Kastner, W.: Towards Data-Driven Malfunctioning Detection in Public and Industrial Power Grids, 2020, Proceedings of the 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)". 4 S.