Constructing neural network based models for simulating dynamical systems C Legaard, T Schranz, G Schweiger, J Drgoňa, B Falay, C Gomes, ... ACM Computing Surveys 55 (11), 1-34, 2023 | 99 | 2023 |
A Universal Mechanism for Implementing Functional Mock-up Units. CM Legaard, D Tola, T Schranz, HD Macedo, PG Larsen SIMULTECH, 121-129, 2021 | 28 | 2021 |
Co-simulation for buildings and smart energy systems—A taxonomic review Q Alfalouji, T Schranz, B Falay, S Wilfling, J Exenberger, T Mattausch, ... Simulation Modelling Practice and Theory 126, 102770, 2023 | 27 | 2023 |
IoT middleware platforms for smart energy systems: an empirical expert survey Q Alfalouji, T Schranz, A Kümpel, M Schraven, T Storek, S Gross, A Monti, ... Buildings 12 (5), 526, 2022 | 27 | 2022 |
Energy Prediction under Changed Demand Conditions: Robust Machine Learning Models and Input Feature Combinations T Schranz, J Exenberger, CM Legaard, J Drgona, G Schweiger Conference: 17th International Conference of the International Building …, 2021 | 10 | 2021 |
Coupling physical and machine learning models: Case study of a single-family house B Falay, S Wilfling, Q Alfalouji, J Exenberger, T Schranz, CM Legaard, ... Modelica Conferences, 335-341, 2021 | 8 | 2021 |
Portable runtime environments for Python-based FMUs: Adding Docker support to UniFMU T Schranz, CM Legaard, D Tola, G Schweiger Modelica Conferences, 419-424, 2021 | 7 | 2021 |
Machine learning for water supply supervision T Schranz, G Schweiger, S Pabst, F Wotawa Trends in Artificial Intelligence Theory and Applications. Artificial …, 2020 | 4 | 2020 |
An approach to test classification in big android applications T Hirsch, C Schindler, M Müller, T Schranz, W Slany 2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019 | 4 | 2019 |
An Open IoT Platform: Lessons Learned from a District Energy System T Schranz, Q Alfalouji, T Hirsch, G Schweiger 2022 Second International Conference on Sustainable Mobility Applications …, 2022 | 3 | 2022 |
Data shortage for urban energy simulations? An empirical survey on data availability and enrichment methods using machine learning G Schweiger, J Exenberger, A Malhotra, T Schranz, T Boiger, ... 28th International Workshop on Intelligent Computing in Engineering, 301-309, 2021 | 3 | 2021 |
Contributors’ impact on a FOSS project’s quality T Schranz, C Schindler, M Müller, W Slany Proceedings of the 2nd ACM SIGSOFT International Workshop on Software …, 2019 | 3 | 2019 |
Mobile application for active consumer participation in building energy systems T Schranz, K Corcoran, T Schwengler, L Eckersdorfer, G Schweiger BauSIM 2020-8th Conference of IBPSA Germany and Austria, Proceedings, 281-287, 2020 | 2 | 2020 |
Introducing the comfort performance gap in new educational buildings: a case study T Kohl, T Schranz, E Hofmann, K Corcoran, G Schweiger arXiv preprint arXiv:2401.10612, 2024 | | 2024 |
Das Internet der Dinge für die Energiewende T Schranz, T Mach, G Schweiger Nachhaltige Technologien-erneuerbare Energien und Ressourceneffizienz 2023 …, 2023 | | 2023 |
Smart Energy Systems Modeling-Component Exchange during Simulation S Wilfling, B Falay, Q Alfalouji, J Exenberger, T Schranz, M Basirat, ... Proceedings from the 2nd International Sustainable Energies Conference 2022, 2022 | | 2022 |
IoT Middleware Platforms for Smart Energy Systems Q Alfalouji, T Schranz, A Kümpel, M Schraven, T Storek, S Groß, A Monti, ... | | 2022 |
Digital Twins: Analyse und Optimierung von Cyber-Physical Systems M Groemer, T Schranz, W Birk, G Schweiger EnInnov2020 16. Symposium Energieinnovation, 12-14 Februar, 2020, Graz …, 2020 | | 2020 |
Automata Learning for Neural Event ODEs: An Interpretable Model of Piecewise Dynamics M Ebrahimi, T Schranz, M Basirat | | |
Gamification für die Optimierung des Energieverbrauchs von Gebäuden und übergeordneten Systemen K Corcoran, L Eckerstorfer, A Fleischhacker, B Glock, I Hafner, G Lettner, ... | | |