Prof. Dr. Alexander Schiendorfer

+49 841 9348-3531

Alexander.Schiendorfer@thi.de

Room: K205

Subject Area: AI-based Optimization in Automotive Production

Faculty: Fakultät WI

Research

Possible applications of combinatorial optimization and machine learning in production & logistics, especially with the requirements of the automotive industry (assembly-intensive, variant-rich production, complex supply chains)

Constraint programming, mathematical optimization (e.g. MiniZinc, Google OR-Tools, Gurobi, CPLEX)
Machine learning (uncertainty-aware deep learning, reinforcement learning, graph neural networks)

Ongoing research projects:

Vita

Since March 2021 Research professor für AI-based Optimization in Automotive Production, Technische
Hochschule Ingolstadt
2018-2020 Senior researcher (untenured), Institut für Software & Systems Engineering,, University of
Augsburg
2013-2018 Research associate and doctorate in computer science, Institut für Software & Systems Engineering,, University of Augsburg
2011-2013 M.Sc. Software Engineering (University of Augsburg, TUM, LMU - Elite graduate program)
2011 Research internship at Siemens Corporate Research (Princeton, USA)
2011 B.Sc. Software Engineering (Hagenberg, Austria)

Full CV available upon request
( https://www.linkedin.com/in/alexander-schiendorfer/ or https://twitter.com/schienal )

Publications

see https://scholar.google.at/citations?hl=en&user=NDP4if4AAAAJ or https://opus4.kobv.de/opus4-haw/solrsearch/index/search/searchtype/authorsearch/author/Schiendorfer%2C+Alexander

Student research assistants

Erik Hass
Anand Balaji .

Former members

Nitin Augustine
Zübeyir Oflaz
Celeste Groux
Sidhant Bhavnani

Publications

2026

DACHTLER, Kristina und Alexander SCHIENDORFER, 2026. Goal-Orientation in Machine Learning Development: A Systematic Mapping Study. In: KOPRINSKA, Irena, João MENDES-MOREIRA und Paula BRANCO, Editors Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part II. Cham: Springer, Page 19-35. ISBN 978-3-032-19099-4. Available at: https://doi.org/10.1007/978-3-032-19099-4_2

SCHIENDORFER, Alexander, Thomas SCHMIDT, Karima OUTAFRAOUT, Michelle BASCHIN, Yuguang HEI, Tom STREUBEL, Pascal KÄTZEL, Lilia MICHAILOV, Rudolf FELIX und Lars HARPENG, 2026. Multi-objective Reinforcement Learning for Safety-Critical Gas Grid Management: Lessons from Real-World Pilot Deployment. In: KOPRINSKA, Irena, João MENDES-MOREIRA und Paula BRANCO, Editors Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part II. Cham: Springer, Page 598-611. ISBN 978-3-032-19099-4. Available at: https://doi.org/10.1007/978-3-032-19099-4_41

2025

DACHTLER, Kristina und Alexander SCHIENDORFER, 2025. A Framework to integrate Machine Learning Decision Preferences in Manufacturing Use Cases. In: ALMEIDA, Luis, Marina INDRIA, Mario DE SOUSA, Antonio VISIOLI, Mohammad ASHJAEI und Pedro SANTOS, Editors 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway: IEEE. ISBN 979-8-3315-5383-8. Available at: https://doi.org/10.1109/ETFA65518.2025.11205573

LODES, Lukas, Erik HASS, Kristina DACHTLER und Alexander SCHIENDORFER, 2025. SmartManPy – Open Source Synthetic Manufacturing Data. Procedia Computer Science, 2025(253), 1830-1839. ISSN 1877-0509. Available at: https://doi.org/10.1016/j.procs.2025.01.245

STEFFEL, Pauline, Jürgen BOCK und Alexander SCHIENDORFER, 2025. Towards a Configurable and Reusable RL Training Infrastructure for AMRs in ROS2. In: ALMEIDA, Luis, Marina INDRIA, Mario DE SOUSA, Antonio VISIOLI, Mohammad ASHJAEI und Pedro SANTOS, Editors 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway: IEEE. ISBN 979-8-3315-5383-8. Available at: https://doi.org/10.1109/ETFA65518.2025.11205702

2024

LODES, Lukas und Alexander SCHIENDORFER, 2024. A multi-layer machine learning architecture for near real-time inference in manufacturing based on Apache Kafka and selective classification. In: FACCHINETTI, Tullio, Angelo CENEDESE, Lucia LO BELLO, Stefano VITTURI, Thilo SAUTER und Federico TRAMARIN, Editors 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway: IEEE. ISBN 979-8-3503-6123-0. Available at: https://doi.org/10.1109/ETFA61755.2024.10711030

SCHIENDORFER, Alexander, Gheorghe LISCA, Karima OUTAFRAOUT, Lilia MICHAILOV, Pascal KÄTZEL und Rudolf FELIX, 2024. Gas Grid Copilot: Can a MORL Agent Assist a Dispatcher in Managing a Gas Grid?. In: ENDRISS, Ulle, Francisco S. MELO, Kerstin BACH, Alberto BUGARÍN-DIZ, José M. ALONSO-MORAL, Senén BARRO und Fredrik HEINTZ, Editors ECAI 2024: 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain, Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Proceedings. Amsterdam: IOS Press, Page 4443-4446. ISBN 978-1-64368-548-9. Available at: https://doi.org/10.3233/FAIA241025

AUGUSTINE, Nitin, Maximilian SCHWAB, Steffen KLARMANN, Christian PFEFFERER und Alexander SCHIENDORFER, 2024. Impact of Blemish Artefacts on Object Detection Models in Autonomous Driving: A Study on Camera Module Manufacturing Defects. Procedia Computer Science, 2024(232), 616-625. ISSN 1877-0509. Available at: https://doi.org/10.1016/j.procs.2024.01.061

BASCHIN, Anja, Michelle BASCHIN, Reinhard BÖSELT, Rudolf FELIX, Cesareo FERNANDEZ, Sven GEHRING, Alexander GÖRTZ, Lars HARPENG, Yuguang HEI, Niclas HILDEBRANDT, Thomas HÜGGING, Pascal KÄTZEL, Kristoffer-Robin KOLBERG, Leonid KUOZA, Lukas LUZIUS, Gheorghe LISCA, Lilia MICHAILOV, Werner MULTHAUP, Karima OUTAFRAOUT, Fabian PROCH, Alexander SCHIENDORFER, Marcel SIMMANEK und Tom STREUBEL, 2024. Industrielle Künstliche Intelligenz für sichere Gasnetze. Tagungsband 18. Symposium Energieinnovation 2024. Graz: Technische Universität Graz. Available at: https://www.tugraz.at/events/eninnov2024/nachlese/download-beitraege/stream-a/#c590685

RUTTMANN, Julia und Alexander SCHIENDORFER, 2024. SocialCOP: Reusable Building Blocks for Collective Constraint Optimization. In: HOTHO, Andreas und Sebastian RUDOLPH, Editors KI 2024: Advances in Artificial Intelligence, 47th German Conference on AI Würzburg, Germany, September 25–27, 2024 Proceedings. Cham: Springer, Page 204-217. ISBN 978-3-031-70893-0. Available at: https://doi.org/10.1007/978-3-031-70893-0_15

2023

LODES, Lukas und Alexander SCHIENDORFER, 2023. A Deep Learning Bootcamp for Engineering & Management Students. In: KINNAIRD, Katherine M., Peter STEINBACH und Oliver GUHR, Editors Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop. [s. l.]: PMLR, Page 32-36. Available at: https://proceedings.mlr.press/v207/lodes23a.html

GAJEK, Carola, Alexander SCHIENDORFER und Wolfgang REIF, 2023. A Recommendation System for CAD Assembly Modeling based on Graph Neural Networks. In: AMINI, Massih-Reza, Stéphane CANU, Asja FISCHER, Tias GUNS, Petra KRALJ NOVAK und Grigorios TSOUMAKAS, Editors Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Proceedings, Part I. Cham: Springer, Page 457-473. ISBN 978-3-031-26387-3. Available at: https://doi.org/10.1007/978-3-031-26387-3_28

DACHTLER, Kristina, Michael ORTNER, Massimo FERRI, Christof EBERST und Alexander SCHIENDORFER, 2023. Data-centric and Goal-oriented AI for Robotic Repair Tasks. ISR Europe 2023, 56th International Symposium on Robotics, in cooperation with Fraunhofer IPA September 26 – 27, 2023 in Stuttgart. Berlin: VDE Verlag. ISBN 978-3-8007-6141-8.

SCHÖNMANN, Alexander, Lukas LODES und Alexander SCHIENDORFER, 2023. KI-Augmentation der Reifegradbewertung von Technologien: Können KI-Sprachmodelle Expertenwissen ersetzen?. In: DUMITRESCU, Roman und Katharina HÖLZLE, Editors Vorausschau und Technologieplanung: 17. Symposium für Vorausschau und Technologieplanung, 14. und 15. September 2023, Berlin. Paderborn: Universität Paderborn, Page 371-387. ISBN 978-3-947647-32-3. Available at: https://doi.org/10.17619/UNIPB/1-1821

2022

LODES, Lukas und Alexander SCHIENDORFER, 2022. Certainty Groups: A Practical Approach to Distinguish Confidence Levels in Neural Networks. In: DO, Phuc, Gabriel MICHAU und Cordelia EZHILARASU, Editors Proceedings of the European Conference of the PHM Society 2022. State College: PHM Society, Page 294-305. ISBN 978-1-936263-36-3. Available at: https://doi.org/10.36001/phme.2022.v7i1.3331

STIEBER, Simon, Niklas SCHRÖTER, Ewald FAUSTER, Marcel BENDER, Alexander SCHIENDORFER und Wolfgang REIF, 2022. Inferring material properties from FRP processes via sim-to-real learning. The International Journal of Advanced Manufacturing Technology, 128(3), 1517-1533. ISSN 1433-3015. Available at: https://doi.org/10.1007/s00170-023-11509-8

BHAVNANI, Sidhant und Alexander SCHIENDORFER, 2022. Towards copeland optimization in combinatorial problems. In: SCHAUS, Pierre, Editors Integration of Constraint Programming, Artificial Intelligence, and Operations Research; 19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022; Proceedings. Cham: Springer, Page 34-43. ISBN 978-3-031-08010-4. Available at: https://doi.org/10.1007/978-3-031-08011-1_4

2021

WILFERT, Jonas, Niklas PAPROTTA, Oliver KOSAK, Simon STIEBER, Alexander SCHIENDORFER und Wolfgang REIF, 2021. A Real-Word Realization of the AntNet Routing Algorithm with ActivityBots. In: EL-ARABY, Esam, Vana KALOGERAKI, Danilo PIANINI, Frédéric LASSABE, Barry PORTER, Sona GHAREMANI, Ingrid NUNES, Mohamed BAKHOUYA und Sven TOMFORDE, Editors Proceedings, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion. Piscataway: IEEE, Page 289-290. ISBN 978-1-6654-4393-7. Available at: https://doi.org/10.1109/ACSOS-C52956.2021.00072

ELLA, Miriam, Carola GAJEK, Alexander SCHIENDORFER und Wolfgang REIF, 2021. An Interactive Web Application for Decision Tree Learning. In: BISCHL, Bernd, Oliver GUHR, Heidi SEIBOLD und Peter STEINBACH, Editors Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop. [s. l.]: PMLR, Page 11-16. Available at: https://proceedings.mlr.press/v141/elia21a.html

STIEBER, Simon, Niklas SCHRÖTER, Alexander SCHIENDORFER, Alwin HOFFMANN und Wolfgang REIF, 2021. FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs. In: DONG, Yuxiao, Dunja MLADENIĆ und Craig SAUNDERS, Editors Machine Learning and Knowledge Discovery in Databases, Applied Data Science Track, Proceedings, Part IV. Cham: Springer, Page 411-426. ISBN 978-3-030-67667-4. Available at: https://doi.org/10.1007/978-3-030-67667-4_25

STIEBER, Simon, Niklas SCHRÖTER, Ewald FAUSTER, Alexander SCHIENDORFER und Wolfgang REIF, 2021. PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP Manufacturing. In: WANI, M. Arif, Ishwar SETHI, Weisong SHI, Guangzhi QU, Daniela Stan RAICU und Ruoming JIN, Editors Proceedings: 20th IEEE International Conference on Machine Learning and Applications (ICMLA 2021). Piscataway: IEEE, Page 694-697. ISBN 978-1-6654-4337-1. Available at: https://doi.org/10.1109/ICMLA52953.2021.00116

SCHIENDORFER, Alexander, Carola GAJEK und Wolfgang REIF, 2021. Turning Software Engineers into Machine Learning Engineers. In: BISCHL, Bernd, Oliver GUHR, Heidi SEIBOLD und Peter STEINBACH, Editors Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop. [s. l.]: PMLR, Page 36-41. Available at: https://proceedings.mlr.press/v141/schiendorfer21a.html

2020

KRÜTZMANN, Julia, Alexander SCHIENDORFER, Sergej BERATZ, Judith MOOSBURGER-WILL, Wolfgang REIF und Siegfried HORN, 2020. Learning Controllers for Adaptive Spreading of Carbon Fiber Tows. In: NICOSIA, Giuseppe, Varun OJHA, Emanuele LA MALFA, Giorgio JANSEN, Vincenzo SCIACCA, Panos PARDALOS, Giovanni GIUFFRIDA und Renato UMETON, Editors Machine Learning, Optimization, and Data Science, 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II. Cham: Springer, Page 65-77. ISBN 978-3-030-64580-9. Available at: https://doi.org/10.1007/978-3-030-64580-9_6

STIEBER, Simon, Alwin HOFFMANN, Alexander SCHIENDORFER, Wolfgang REIF, Matthias BEYRLE, Jan FABER, Michaela RICHTER und Markus SAUSE, 2020. Towards real-time process monitoring and machine learning for manufacturing composite structures. Proceedings 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway: IEEE, Page 1455-1458. ISBN 978-1-7281-8956-7. Available at: https://doi.org/10.1109/ETFA46521.2020.9212097

2019

GAJEK, Carola, Alexander SCHIENDORFER und Wolfgang REIF, 2019. A chained neural network model for photovoltaic power forecast. In: NICOSIA, Giuseppe, Panos PARDALOS, Renato UMETON, Giovanni GIUFFRIDA und Vincenzo SCIACCA, Editors Machine Learning, Optimization, and Data Science: 5th International Conference, LOD 2019, Siena, Italy, September 10–13, 2019, Proceedings. Cham: Springer, Page 566-578. ISBN 978-3-030-37598-0. Available at: https://doi.org/10.1007/978-3-030-37599-7_47

SCHIENDORFER, Alexander und Wolfgang REIF, 2019. Reducing bias in preference aggregation for multiagent soft constraint problems. In: SCHIEX, Thomas und Simon DE GIVRY, Editors Principles and Practice of Constraint Programming, 25th International Conference, CP 2019, Proceedings. Cham: Springer, Page 510-526. ISBN 978-3-030-30047-0. Available at: https://doi.org/10.1007/978-3-030-30048-7_30

2018

SCHIENDORFER, Alexander, Alexander KNAPP, Gerrit ANDERS und Wolfgang REIF, 2018. MiniBrass: Soft constraints for MiniZinc. Constraints, 23(4), 403-450. ISSN 1572-9354. Available at: https://doi.org/10.1007/s10601-018-9289-2

HANKE, Julian, Oliver KOSAK, Alexander SCHIENDORFER und Wolfgang REIF, 2018. Self-organized Resource Allocation for Reconfigurable Robot Ensembles. 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO). Los Alamitos: IEEE, Page 110-119. ISBN 978-1-5386-5172-8. Available at: https://doi.org/10.1109/SASO.2018.00022

2016

SCHIENDORFER, Alexander, Gerrit ANDERS, Jan-Philipp STEGHÖFER und Wolfgang REIF, 2016. Abstraction of Heterogeneous Supplier Models in Hierarchical Resource Allocation. In: NGUYEN, Ngoc Thanh, Ryszard KOWALCZYK, Béatrice DUVAL, Jaap VAN DEN HERIK, Stephane LOISEAU und Joaquim FILIPE, Editors Transactions on Computational Collective Intelligence XX. Cham: Springer, Page 23-53. ISBN 978-3-319-27543-7. Available at: https://doi.org/10.1007/978-3-319-27543-7_2

ANDERS, Gerrit, Florian SIEFERT, Alexander SCHIENDORFER, Hella SEEBACH, Jan-Philipp STEGHÖFER, Benedikt EBERHARDINGER, Oliver KOSAK und Wolfgang REIF, 2016. Specification and Design of Trust-Based Open Self-Organising Systems. In: REIF, Wolfgang, Gerrit ANDERS, Hella SEEBACH, Jan-Philipp STEGHÖFER, Elisabeth ANDRÉ, Jörg HÄHNER, Christian MÜLLER-SCHLOER und Theo UNGERER, Editors Trustworthy Open Self-Organising Systems. Cham: Birkhäuser, Page 17-54. ISBN 978-3-319-29201-4. Available at: https://doi.org/10.1007/978-3-319-29201-4_2

KOSAK, Oliver, Constantin WANNINGER, Andreas ANGERER, Alwin HOFFMANN, Alexander SCHIENDORFER und Hella SEEBACH, 2016. Towards Self-organizing Swarms of Reconfigurable Self-aware Robots. In: ELNIKETY, Sameh, Peter R. LEWIS und Christian MÜLLER-SCHLOER, Editors Proceedings: IEEE 1st International Workshops on Foundations and Applications of Self-* Systems (FAS-W 2016). Los Alamitos: IEEE, Page 204-209. ISBN 978-1-5090-3651-6. Available at: https://doi.org/10.1109/FAS-W.2016.52

2015

SCHIENDORFER, Alexander, 2015. A Soft Constraint Approach to Self-organising Systems. In: TOMFORDE, Sven und Bernhard SICK, Editors Organic Computing, Doctoral Dissertation Colloquium 2015. Kassel: kassel university press, Page 3-11. ISBN 978-3-7376-0029-3. Available at: https://www.uni-kassel.de/ub/publizieren/kassel-university-press/verlagsprogramm?h=9783737600286

SCHIENDORFER, Alexander, Christoph LASSNER, Gerrit ANDERS, Wolfgang REIF und Rainer LIENHART, 2015. Active Learning for Abstract Models of Collectives. In: CARDOSO, João M. P., Editors ARCS 2015 - 28th International Conference on Architecture of Computing Systems, Workshop Proceedings. Berlin: VDE Verlag. ISBN 978-3-8007-3657-7. Available at: https://www.vde-verlag.de/proceedings-de/563657010.html

SCHIENDORFER, Alexander, Christoph LASSNER, Gerrit ANDERS, Wolfgang REIF und Rainer LIENHART, 2015. Active Learning for Efficient Sampling of Control Models of Collectives. Proceedings: 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems: SASO 2015. Los Alamitos: IEEE, Page 51-60. Available at: https://doi.org/10.1109/SASO.2015.13

ANDERS, Gerrit, Alexander SCHIENDORFER, Florian SIEFERT, Jan-Philipp STEGHÖFER und Wolfgang REIF, 2015. Cooperative Resource Allocation in Open Systems of Systems. ACM Transactions on Autonomous and Adaptive Systems, 10(2), 11. ISSN 1556-4665. Available at: https://dl.acm.org/doi/10.1145/2700323

SCHIENDORFER, Alexander, Yves WAUTELET und Wolfgang REIF, 2015. Modeling Hierarchical Resources Within a Unified Ontology: A Position Paper. In: LOISEAU, Stephane, Joaquim FILIPE, Béatrice DUVAL und Jaap VAN DEN HERIK, Editors Proceedings of the International Conference on Agents and Artificial Intelligence. Setúbal: SciTePress, Page 614-619. ISBN 978-989-758-074-1. Available at: https://doi.org/10.5220/0005289006140619

SCHIENDORFER, Alexander, Alexander KNAPP, Jan-Philipp STEGHÖFER, Gerrit ANDERS, Florian SIEFERT und Wolfgang REIF, 2015. Partial Valuation Structures for Qualitative Soft Constraints. In: DE NICOLA, Rocco und Rolf HENNICKER, Editors Software, Services, and Systems: Essays Dedicated to MartinWirsing on the Occasion of His Retirement from the Chair of Programming and Software Engineering. Cham: Springer, Page 115-133. ISBN 978-3-319-15545-6. Available at: https://doi.org/10.1007/978-3-319-15545-6_10

2014

SCHIENDORFER, Alexander, 2014. Constraint Programming for Hierarchical Resource Allocation. In: TOMFORDE, Sven und Bernhard SICK, Editors Organic Computing, Doctoral Dissertation Colloquium 2014. Kassel: kassel university press, Page 57-68. ISBN 978-3-86219-832-0. Available at: https://www.uni-kassel.de/ub/publizieren/kassel-university-press/verlagsprogramm/?h=978-3-86219-832-0

KNAPP, Alexander, Alexander SCHIENDORFER und Wolfgang REIF, 2014. Quality over Quantity in Soft Constraints. Proceedings: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence: ICTAI 2014. Los Alamitos: IEEE, Page 453-460. ISBN 978-1-4799-6572-4. Available at: https://doi.org/10.1109/ICTAI.2014.75

ANDERS, Gerrit, Alexander SCHIENDORFER, Jan-Philipp STEGHÖFER und Wolfgang REIF, 2014. Robust Scheduling in a Self-Organizing Hierarchy of Autonomous Virtual Power Plants. In: STECHELE, Walter und Thomas WILD, Editors ARCS 2014 - 27th International Conference on Architecture of Computing Systems: Workshop Proceedings. Berlin: VDE Verlag. ISBN 978-3-8007-3579-2. Available at: https://www.vde-verlag.de/proceedings-en/563579019.html

SCHIENDORFER, Alexander, Jan-Philipp STEGHÖFER und Wolfgang REIF, 2014. Synthesis and Abstraction of Constraint Models for Hierarchical Resource Allocation Problems. Proceedings of the 6th International Conference on Agents and Artificial Intelligence: Volume 2: ICAART. Setúbal: SciTePress, Page 15-27. ISBN 978-989-758-016-1. Available at: https://doi.org/10.5220/0004757700150027

SCHIENDORFER, Alexander, Jan-Philipp STEGHÖFER und Wolfgang REIF, 2014. Synthesised Constraint Models for Distributed Energy Management. Proceedings of the 2014 Federated Conference on Computer Science and Information Systems (FedCSIS). Piscataway: IEEE, Page 1529-1538. ISBN 978-83-60810-58-3. Available at: https://ieeexplore.ieee.org/document/6933199

2013

SCHIENDORFER, Alexander, Jan-Philipp STEGHÖFER, Alexander KNAPP, Florian NAFZ und Wolfgang REIF, 2013. Constraint Relationships for Soft Constraints. In: BRAMER, Max und Miltos PETRIDIS, Editors Research and Development in Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI: Proceedings of AI-2013. Cham: Springer, Page 241-255. ISBN 978-3-319-02621-3. Available at: https://doi.org/10.1007/978-3-319-02621-3_17

2012

SCHIENDORFER, Alexander, Gerhard ZIMMERMANN, Yan LU und George LO, 2012. Fault Diagnosis in HVAC Systems Based on the Heat Flow Model. Proceedings of SimBuild Conference 2012, 5th Conference of IBPSA USA, Madison, Wisconsin, USA August 1-3, 2012. [s. l.]: IBPSA, Page 440-447. Available at: https://publications.ibpsa.org/conference/?id=simbuild2012