| Explainable long-term building energy consumption prediction using QLattice S Wenninger, C Kaymakci, C Wiethe Applied Energy 308, 118300, 2022 | 61 | 2022 |
| A Holistic Framework for AI Systems in Industrial Applications C Kaymakci, S Wenninger, A Sauer Proceedings of WI2021, 2021 | 28 | 2021 |
| Integrating Energy Flexibility in Production Planning and Control-An Energy Flexibility Data Model-Based Approach L Bank, S Wenninger, J Köberlein, M Lindner, C Kaymakci, M Weigold, ... ESSN: 2701-6277, 2021 | 18 | 2021 |
| A systematic selection process of machine learning cloud services for manufacturing SMEs C Kaymakci, S Wenninger, P Pelger, A Sauer Computers 11 (1), 14, 2022 | 15 | 2022 |
| Wie IT die Energieflexibilitätsvermarktung von Industrieunternehmen ermöglicht und die Energiewende unterstützt D Bauer, A Hieronymus, C Kaymakci, J Köberlein, J Schimmelpfennig, ... HMD Praxis der Wirtschaftsinformatik 58 (1), 102-115, 2020 | 15 | 2020 |
| Energy anomaly detection in industrial applications with long short-term memory-based autoencoders C Kaymakci, S Wenninger, A Sauer Procedia CIRP 104, 182-187, 2021 | 13 | 2021 |
| How Sustainable is Machine Learning in Energy Applications?–The Sustainable Machine Learning Balance Sheet S Wenninger, C Kaymakci, C Wiethe, J Römmelt, L Baur, B Häckel, ... | 12 | 2022 |
| Structuring the Digital Energy Platform Jungle: Development of a Multi-Layer Taxonomy and Implications for Practice S Duda, C Kaymakci, J Köberlein, S Wenninger, T Haubner, A Sauer, ... Proceedings of the Conference on Production Systems and Logistics: CPSL 2022 …, 2022 | 4 | 2022 |
| Industrial fexibility options and their applications in a future energy system HU Buhl, N Gabrek, JN Gerdes, C Kaymakci, K Rauland, F Richter, ... Fraunhofer FIT, 2021 | 4 | 2021 |
| Explainability and interpretability in electric load forecasting using machine learning techniques–A review L Baur, K Ditschuneit, M Schambach, C Kaymakci, T Wollmann, A Sauer Energy and AI, 100358, 2024 | 3 | 2024 |
| Deriving Digital Energy Platform Archetypes for Manufacturing–A Data-Driven Clustering Approach S Duda, L Fabri, C Kaymakci, S Wenninger, A Sauer ESSN: 2701-6277, 54-64, 2023 | 3 | 2023 |
| Optimierung auf der Energiesynchronisationsplattform J Schilp, L Bank, J Köberlein, T Bauernhansl, A Sauer, C Kaymakci, ... | 3 | 2021 |
| Demonstratoren der Energiesynchronisationsplattform T Bauernhansl, A Sauer, C Kaymakci, A Schlereth, J Schilp, ... | 3 | 2021 |
| Intelligent energy systems as enabler for increased resilience of manufacturing systems D Bauer, C Kaymakci, T Bauernhansl, A Sauer Procedia CIRP 104, 217-222, 2021 | 3 | 2021 |
| Federated Machine Learning Architecture for Energy-Efficient Industrial Applications C Kaymakci, L Baur, A Sauer ESSN: 2701-6277, 2021 | 3 | 2021 |
| Konzept der Energiesynchronisationsplattform. Diskussionspapier V3 G Reinhart, L Bank, M Brugger, A Hieronymus, J Köberlein, S Roth, ... Fraunhofer IGCV, 2020 | 3 | 2020 |
| SynErGame–Gamified Knowledge Building on Synchronizing Energy Supply and Energy Demand D Bauer, S Gail, L Hitzenberger, C Kaymakci, A Sauer, L Körting, ... ECGBL 2022 16th European Conference on Game-Based Learning, 2022 | 2 | 2022 |
| Energy Efficiency Enhanced Shop Floor Scheduling: Data Model and Flexible Optimization Heuristic H Thimm, CO Kaymakci, M Tanik, R André 2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017 | 2 | 2017 |
| Energy Synchronization Platform Concept to Enable and Streamline Automated Industrial Demand Response C van Stiphoudt, S POTENCIANO MENCI, C Kaymakci, S Wenninger, ... Energy Proceedings, 2024 | 1 | 2024 |
| STRUCTURING FEDERATED LEARNING APPLICATIONS–A LITERATURE ANALYSIS AND TAXONOMY P Karnebogen, C Kaymakci, L Willburger, B Häckel, A Sauer | 1 | 2023 |
Simon WenningerFIM Research Center University of Applied Sciences Augsburg, Branch Business & Information Systems在 fim-rc.de 的电子邮件经过验证
Simon WenningerFIM Research Center University of Applied Sciences Augsburg, Branch Business & Information Systems在 fim-rc.de 的电子邮件经过验证