Dr.-Ing.  Kevin Förderer

Dr.-Ing. Kevin Förderer

  • Karlsruhe Institute of Technology (KIT)
    Institute for Automation and Applied Informatics (IAI)

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

    Fax: +49 721 608 22602
    Building-No.: 445 / 449 / 668


Dynamic Mapping for Evolutionary Algorithm Based Optimization of Energy Hub Gas Scheduling
Poppenborg, R.
2023, August 13. 11th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2023), Oshawa, Canada, August 13–15, 2023
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling
Poppenborg, R.; Phipps, K.; Khalloof, H.; Förderer, K.; Mikut, R.; Hagenmeyer, V.
2023. GECCO ’23 Companion: Companion Conference on Genetic and Evolutionary Computation Lisbon Portugal July 15 - 19, 2023. Ed.: S. Silva, 755–758, Association for Computing Machinery (ACM). doi:10.1145/3583133.3590666
An adapter-based architecture for evaluating candidate solutions in energy system scheduling
Chlosta, M.; Liu, J.; Poppenborg, R.; Lutz, R.; Förderer, K.; Schlachter, T.; Hagenmeyer, V.
2022. Energy Informatics, 5 (S4), 56. doi:10.1186/s42162-022-00246-z
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
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
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
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
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