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Thomas Schranz
Thomas Schranz
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Cited by
Cited by
Year
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
552023
A Universal Mechanism for Implementing Functional Mock-up Units.
CM Legaard, D Tola, T Schranz, HD Macedo, PG Larsen
SIMULTECH, 121-129, 2021
182021
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
162022
Co-simulation for buildings and smart energy systems¡XA taxonomic review
Q Alfalouji, T Schranz, B Falay, S Wilfling, J Exenberger, T Mattausch, ...
Simulation Modelling Practice and Theory, 102770, 2023
132023
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 ¡K, 2021
92021
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
62021
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
62021
Machine learning for water supply supervision
T Schranz, G Schweiger, S Pabst, F Wotawa
Trends in Artificial Intelligence Theory and Applications. Artificial ¡K, 2020
52020
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 ¡K, 2019
32019
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 ¡K, 2019
32019
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
22021
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
22020
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
Automata Learning for Neural Event ODEs: An Interpretable Model of Piecewise Dynamics
M Ebrahimi, T Schranz, M Basirat
2023
Das Internet der Dinge für die Energiewende
T Schranz, T Mach, G Schweiger
Nachhaltige Technologien-erneuerbare Energien und Ressourceneffizienz 2023 ¡K, 2023
2023
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 ¡K, 2022
2022
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 ¡K, 2020
2020
Gamification für die Optimierung des Energieverbrauchs von Gebäuden und übergeordneten Systemen
K Corcoran, L Eckerstorfer, A Fleischhacker, B Glock, I Hafner, G Lettner, ...
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