@inproceedings{MaurerNitschKochemsetal.2024,
  author    = {Maurer, Florian and Nitsch, Felix and Kochems, Johannes and Schimeczek, Christoph and Sander, Volker and Lehnhoff, Sebastian},
  title     = {Know your tools - a comparison of two open agent-based energy market models},
  series = {2024 20th International Conference on the European Energy Market (EEM)},
  booktitle = {2024 20th International Conference on the European Energy Market (EEM)},
  publisher = {IEEE},
  address   = {New York, NY},
  doi       = {10.1109/EEM60825.2024.10609021},
  pages     = {8 Seiten},
  year      = {2024},
  abstract  = {Due to the transition to renewable energies, electricity markets need to be made fit for purpose. To enable the comparison of different energy market designs, modeling tools covering market actors and their heterogeneous behavior are needed. Agent-based models are ideally suited for this task. Such models can be used to simulate and analyze changes to market design or market mechanisms and their impact on market dynamics. In this paper, we conduct an evaluation and comparison of two actively developed open-source energy market simulation models. The two models, namely AMIRIS and ASSUME, are both designed to simulate future energy markets using an agent-based approach. The assessment encompasses modelling features and techniques, model performance, as well as a comparison of model results, which can serve as a blueprint for future comparative studies of simulation models. The main comparison dataset includes data of Germany in 2019 and simulates the Day-Ahead market and participating actors as individual agents. Both models are comparable close to the benchmark dataset with a MAE between 5.6 and 6.4 €/MWh while also modeling the actual dispatch realistically.},
  language  = {en}
}
@inproceedings{MaurerSejdijaSander2024,
  author    = {Maurer, Florian and Sejdija, Jonathan and Sander, Volker},
  title     = {Decentralized energy data storages through an Open Energy Database Server},
  doi       = {10.5281/zenodo.10607895},
  pages     = {5 Seiten},
  year      = {2024},
  abstract  = {In the research domain of energy informatics, the importance of open datais rising rapidly. This can be seen as various new public datasets are created andpublished. Unfortunately, in many cases, the data is not available under a permissivelicense corresponding to the FAIR principles, often lacking accessibility or reusability.Furthermore, the source format often differs from the desired data format or does notmeet the demands to be queried in an efficient way. To solve this on a small scale atoolbox for ETL-processes is provided to create a local energy data server with openaccess data from different valuable sources in a structured format. So while the sourcesitself do not fully comply with the FAIR principles, the provided unique toolbox allows foran efficient processing of the data as if the FAIR principles would be met. The energydata server currently includes information of power systems, weather data, networkfrequency data, European energy and gas data for demand and generation and more.However, a solution to the core problem - missing alignment to the FAIR principles - isstill needed for the National Research Data Infrastructure.},
  language  = {en}
}