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Thomas Schranz
Thomas Schranz
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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
992023
A Universal Mechanism for Implementing Functional Mock-up Units.
CM Legaard, D Tola, T Schranz, HD Macedo, PG Larsen
SIMULTECH, 121-129, 2021
282021
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
272023
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
272022
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
102021
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
82021
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
72021
Machine learning for water supply supervision
T Schranz, G Schweiger, S Pabst, F Wotawa
Trends in Artificial Intelligence Theory and Applications. Artificial …, 2020
42020
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
42019
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
32022
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
32021
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
32019
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
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, ...
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