Publications

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

Automated generation of models for demand side flexibility using machine learning – an overview
Förderer, K.; Hagenmeyer, V.; Schmeck, H.
2021. ACM SIGEnergy Energy Informatics Review, 1 (1), 107–120. doi:10.1145/3508467.3508477

Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models - Supplementary Materials
Förderer, K.
2021, September 20. doi:10.5445/IR/1000137363

Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models. PhD dissertation
Förderer, K. M.
2021, September 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000136921

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

A Concept for Standardized Benchmarks for the Evaluation of Control Strategies for Building Energy Management
Wölfle, D.; Förderer, K.; Schmeck, H.
2019. Energy informatics

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

Demo abstract : a building energy management system in the context of the smart grid traffic light concept
Förderer, K.; Schmeck, H.
2017. Computer science - research and development, 1–2. doi:10.1007/s00450-017-0376-1