@incollection{StollenwerkFranzkeMaureretal.2023,
  author    = {Stollenwerk, Dominik and Franzke, Till and Maurer, Florian and Reinkensmeier, Sebastian and Kim, Franken and Tambornino, Philipp and Haas, Florian and Rieke, Christian and Hermanuz, Andreas and Borchert, J{\"o}rg and Ritz, Thomas and Sander, Volker},
  title     = {Smarte Lades{\"a}ulen : Netz- und Marktdienliches {\"o}ffentliches Laden},
  series = {Towards the New Normal in Mobility : Technische und betriebswirtschaftliche Aspekte},
  booktitle = {Towards the New Normal in Mobility : Technische und betriebswirtschaftliche Aspekte},
  editor    = {Proff, Heike},
  publisher = {Springer Gabler},
  address   = {Wiesbaden},
  isbn      = {978-3-658-39437-0 (Print)},
  doi       = {10.1007/978-3-658-39438-7_18},
  pages     = {287 -- 304},
  year      = {2023},
  abstract  = {Stand 01.01.2022 sind in Deutschland 618.460 elektrisch angetriebene KFZ zugelassen. Insgesamt sind derzeit 48.540.878 KFZ zugelassen, was einer Elektromobilit{\"a}tsquote von ca. 1,2 \% entspricht. Derzeit werden Elektromobile {\"u}ber Ladestationen oder Steckdosen mit dem Stromnetz verbunden und {\"u}blicherweise mit der vollen Ladekapazit{\"a}t des Anschlusses aufgeladen, bis das Batteriemanagementsystem des Fahrzeugs abh{\"a}ngig vom Ladezustand der Batterie die Ladeleistung reduziert.},
  language  = {de}
}
@inproceedings{MaurerMiskiwAcostaetal.2023,
  author    = {Maurer, Florian and Miskiw, Kim K. and Acosta, Rebeca Ramirez and Harder, Nick and Sander, Volker and Lehnhoff, Sebastian},
  title     = {Market abstraction of energy markets and policies - application in an agent-based modeling toolbox},
  series = {EI.A 2023: Energy Informatics},
  booktitle = {EI.A 2023: Energy Informatics},
  editor    = {Jorgensen, Bo Norregaard and Pereira da Silva, Luiz Carlos and Ma, Zheng},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-48651-7 (Print)},
  doi       = {10.1007/978-3-031-48652-4_10},
  pages     = {139 -- 157},
  year      = {2023},
  abstract  = {In light of emerging challenges in energy systems, markets are prone to changing dynamics and market design. Simulation models are commonly used to understand the changing dynamics of future electricity markets. However, existing market models were often created with specific use cases in mind, which limits their flexibility and usability. This can impose challenges for using a single model to compare different market designs. This paper introduces a new method of defining market designs for energy market simulations. The proposed concept makes it easy to incorporate different market designs into electricity market models by using relevant parameters derived from analyzing existing simulation tools, morphological categorization and ontologies. These parameters are then used to derive a market abstraction and integrate it into an agent-based simulation framework, allowing for a unified analysis of diverse market designs. Furthermore, we showcase the usability of integrating new types of long-term contracts and over-the-counter trading. To validate this approach, two case studies are demonstrated: a pay-as-clear market and a pay-as-bid long-term market. These examples demonstrate the capabilities of the proposed framework.},
  language  = {en}
}
@inproceedings{Maurer2022,
  author    = {Maurer, Florian},
  title     = {Framework to provide a simulative comparison of different energy market designs},
  series = {Energy Informatics},
  volume    = {5},
  booktitle = {Energy Informatics},
  number    = {2},
  publisher = {Springer Nature},
  issn      = {2520-8942},
  doi       = {10.1186/s42162-022-00215-6},
  pages     = {18 -- 20},
  year      = {2022},
  abstract  = {Useful market simulations are key to the evaluation of diferent market designs existing of multiple market mechanisms or rules. Yet a simulation framework which has a comparison of diferent market mechanisms in mind was not found. The need to create an objective view on different sets of market rules while investigating meaningful agent strategies concludes that such a simulation framework is needed to advance the research on this subject. An overview of diferent existing market simulation models is given which also shows the research gap and the missing capabilities of those systems. Finally, a methodology is outlined how a novel market simulation which can answer the research questions can be developed.},
  language  = {en}
}