Dr.-Ing. Kevin Förderer

Dr.-Ing. Kevin Förderer

  • Karlsruher Institut für Technologie (KIT)
    Institut für Automation und angewandte Informatik (IAI)

    Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen

    Fax: +49 721 608 22602
    Gebäude-Nr.: 445 / 449 / 668

Publikationen


2022
Fast Grid State Estimation for Power Networks: An Ensemble Machine Learning Approach
Shahoud, S.; Khalloof, H.; Khalouf, R.; Düpmeier, C.; Cakmak, H. K.; Forderer, K.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), 12–18, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889763
Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments
Khalloof, H.; Ciftci, S.; Shahoud, S.; Duepmeier, C.; Foerderer, K.; Hagenmeyer, V.
2022. GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Ed.: J. E. Fieldsend, 2001–2008, Association for Computing Machinery (ACM). doi:10.1145/3520304.3533997
2020
State-of-the-art integration of decentralized energy management systems into the German smart meter gateway infrastructure
Kroener, N.; Förderer, K.; Lösch, M.; Schmeck, H.
2020. Applied Sciences, 10 (11), Article No.3665. doi:10.3390/app10113665
2019
State-based load profile generation for modeling energetic flexibility
Förderer, K.; Schmeck, H.
2019. Energy informatics, 2 (S1), 18. doi:10.1186/s42162-019-0077-z
Smart Meter Gateways: Options for a BSI-compliant integration of energy management systems
Förderer, K.; Lösch, M.; Növer, R.; Ronczka, M.; Schmeck, H.
2019. Applied Sciences, 9 (8), Art. Nr.: 1634. doi:10.3390/app9081634
Definition von Flexibilität in einem zellulär geprägten Energiesystem
Lehmann, N.; Kraft, E.; Duepmeier, C.; Mauser, I.; Förderer, K.; Sauer, D.
2019. Zukünftige Stromnetze 2019 : 30./31. Januar 2019 in Berlin, 459–469, Conexio
2018
Modeling flexibility using artificial neural networks
Förderer, K.; Ahrens, M.; Bao, K.; Mauser, I.; Schmeck, H.
2018. Energy Informatics, S1 (21), 73–91. doi:10.1186/s42162-018-0024-4
Evaluation of power flow prognosis methods for congestion management in low voltage grids
Volk, K.; Lakenbrink, C.; Hatje, N.; Stolle, P.; Sivorotka, F.; Förderer, K.
2018. 8th Solar Integration Workshop : International Workshop on Integration of Solar Power into Power Systems : 16-17 October 2018, Stockholm, Sweden : digital proceedings / organizer: Energynautics ; edited by: Uta Betancourt, Thomas Ackermann, Energynautics GmbH
Towards the Modeling of Flexibility Using Artificial Neural Networks in Energy Management and Smart Grids: Note
Förderer, K.; Ahrens, M.; Bao, K.; Mauser, I.; Schmeck, H.
2018. Proceedings of the 9th International Conference on Future Energy Systems (ACM e-Energy 2018), Karlsruhe, 12.-15. Juni 2018, 85–90, Association for Computing Machinery (ACM). doi:10.1145/3208903.3208915
2017
Definition, Modeling, and Communication of Flexibility in Smart Buildings and Smart Grid
Mauser, I.; Müller, J.; Förderer, K.; Schmeck, H.
2017. ETG Congress 2017 – Die Energiewende, Bonn, November 28 – 29, 2017, 605–610, VDE Verlag