M.Sc. Andreas Kimmig
- Wissenschaftlicher Mitarbeiter
- Sprechstunden: Thursday, 13:00-14:00
- Raum: 411
- Tel.: +49 721 608-46634
- Fax: +49 721 608-43984
- andreas kimmig ∂does-not-exist.kit edu
Institut für Informationsmangement im Ingenieurwesen
Kriegsstraße 77
D-76131 Karlsruhe
Forschungsschwerpunkt
Data Analytics, Machine Learning, Digitale Zwillinge, PLM & IoT-Plattform Ökosysteme
| Titel | Typ | Semester | Ort |
|---|---|---|---|
| CATIA für Fortgeschrittene | Projekt (PRO) | jedes Semester | |
| CAD-Praktikum CATIA | Praktikum (P) | WS 20/21 | Online / Poolraum 406, Kriegsstraße 77 |
| CAD-Praktikum NX | Praktikum (P) | WS 20/21 | Online / Poolraum 406, Kriegsstraße 77 |
| Virtual Engineering I | Vorlesung (V) | WS 20/21 |
Publikationen
Wind turbine failure prediction and health assessment based on adaptive maximum mean discrepancy.
Peng, J.; Kimmig, A.; Niu, Z.; Wang, J.; Liu, X.; Wang, D.; Ovtcharova, J.
2022. International journal of electrical power & energy systems, 134, 107391. doi:10.1016/j.ijepes.2021.107391
Peng, J.; Kimmig, A.; Niu, Z.; Wang, J.; Liu, X.; Wang, D.; Ovtcharova, J.
2022. International journal of electrical power & energy systems, 134, 107391. doi:10.1016/j.ijepes.2021.107391
Dual-stage attention-based long-short-term memory neural networks for energy demand prediction.
Peng, J.; Kimmig, A.; Wang, J.; Liu, X.; Niu, Z.; Ovtcharova, J.
2021. Energy and buildings, 249, Art.-Nr.: 111211. doi:10.1016/j.enbuild.2021.111211
Peng, J.; Kimmig, A.; Wang, J.; Liu, X.; Niu, Z.; Ovtcharova, J.
2021. Energy and buildings, 249, Art.-Nr.: 111211. doi:10.1016/j.enbuild.2021.111211
Human-Centered Referential Process Models for AI Application.
Elstermann, M.; Bönsch, J.; Kimmig, A.; Ovtcharova, J.
2021. Human Centred Intelligent Systems: Proceedings of KES-HCIS 2021 Conference. Ed.: A. Zimmermann, 56–65, Springer. doi:10.1007/978-981-16-3264-8_6
Elstermann, M.; Bönsch, J.; Kimmig, A.; Ovtcharova, J.
2021. Human Centred Intelligent Systems: Proceedings of KES-HCIS 2021 Conference. Ed.: A. Zimmermann, 56–65, Springer. doi:10.1007/978-981-16-3264-8_6
A flexible potential-flow model based high resolution spatiotemporal energy demand forecasting framework.
Peng, J.; Kimmig, A.; Niu, Z.; Wang, J.; Liu, X.; Ovtcharova, J.
2021. Applied Energy, 299, Art.-Nr.: 117321. doi:10.1016/j.apenergy.2021.117321
Peng, J.; Kimmig, A.; Niu, Z.; Wang, J.; Liu, X.; Ovtcharova, J.
2021. Applied Energy, 299, Art.-Nr.: 117321. doi:10.1016/j.apenergy.2021.117321
Ein hybrides RNN-Modell für die mittel- bis langfristige Vorhersage des Strombedarfs unter Berücksichtigung von Wettereinflüssen [A hybrid RNN model for mid-to-long term electricity demand forecasting incorporating weather influences].
Jieyang, P.; Dongkun, W.; Kimmig, A.; Langovoy, M. A.; Jiahai, W.; Ovtcharova, J.
2021. Automatisierungstechnik, 69 (1), 73–83. doi:10.1515/auto-2020-0033
Jieyang, P.; Dongkun, W.; Kimmig, A.; Langovoy, M. A.; Jiahai, W.; Ovtcharova, J.
2021. Automatisierungstechnik, 69 (1), 73–83. doi:10.1515/auto-2020-0033
The Research of Flexible Scheduling of Workshop Based on Artificial Fish Swarm Algorithm and Knowledge Mining.
Peng, J.; Wang, J.; Wang, D.; Kimmig, A.; Ovtcharova, J.
2020. Advances in Swarm Intelligence – 11th International Conference, ICSI 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings. Ed.: Y. Tan, 104–116, Springer International Publishing. doi:10.1007/978-3-030-53956-6_10
Peng, J.; Wang, J.; Wang, D.; Kimmig, A.; Ovtcharova, J.
2020. Advances in Swarm Intelligence – 11th International Conference, ICSI 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings. Ed.: Y. Tan, 104–116, Springer International Publishing. doi:10.1007/978-3-030-53956-6_10
Methodical approach for the development of a platform for the configuration and operation of turnkey production systems.
Gönnheimer, P.; Kimmig, A.; Mandel, C.; Stürmlinger, T.; Yang, S.; Schade, F.; Ehrmann, C.; Klee, B.; Behrendt, M.; Schlechtendahl, J.; Fischer, M.; Trautmann, K.; Fleischer, J.; Lanza, G.; Ovtcharova, J.; Becker, J.; Albers, A.
2019. Procedia CIRP, 84, 880–885. doi:10.1016/j.procir.2019.04.260
Gönnheimer, P.; Kimmig, A.; Mandel, C.; Stürmlinger, T.; Yang, S.; Schade, F.; Ehrmann, C.; Klee, B.; Behrendt, M.; Schlechtendahl, J.; Fischer, M.; Trautmann, K.; Fleischer, J.; Lanza, G.; Ovtcharova, J.; Becker, J.; Albers, A.
2019. Procedia CIRP, 84, 880–885. doi:10.1016/j.procir.2019.04.260