@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}
}
@inproceedings{EggertSchwarz2024,
  author    = {Eggert, Matthias and Schwarz, Jakob},
  title     = {What do enterprise collaboration systems afford to digital startups?},
  series = {ECIS 2024 Proceedings},
  booktitle = {ECIS 2024 Proceedings},
  year      = {2024},
  abstract  = {In recent years, more and more digital startups have been founded and many of them work remotely by applying enterprise collaboration systems (ECS). The study investigates the functional affordances of ECS, particularly Slack, and examines its potential as a virtual office environment for cultural development in digital startups. Through a case study and based on affordance theoretical considerations, the paper explores how ECS facilitates remote collaboration, communication, and socialization within digital startups. The findings comprise material properties of ECS (synchrony and asynchrony communication), functional affordances (virtual office and culture development affordances) as well as its realization (through communication practices, openness, and inter-company accessibility) and are conceptualized as a model for ECS affordances in digital startups.},
  language  = {en}
}
@article{KohlKraemerFohryetal.2024,
  author    = {Kohl, Philipp and Kr{\"a}mer, Yoka and Fohry, Claudia and Kraft, Bodo},
  title     = {Scoping review of active learning strategies and their evaluation environments for entity recognition tasks},
  series = {Deep learning theory and applications},
  journal   = {Deep learning theory and applications},
  editor    = {Fred, Ana and Hadjali, Allel and Gusikhin, Oleg and Sansone, Carlo},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-66694-0 (online ISBN)},
  doi       = {10.1007/978-3-031-66694-0_6},
  pages     = {84 -- 106},
  year      = {2024},
  abstract  = {We conducted a scoping review for active learning in the domain of natural language processing (NLP), which we summarize in accordance with the PRISMA-ScR guidelines as follows: Objective: Identify active learning strategies that were proposed for entity recognition and their evaluation environments (datasets, metrics, hardware, execution time). Design: We used Scopus and ACM as our search engines. We compared the results with two literature surveys to assess the search quality. We included peer-reviewed English publications introducing or comparing active learning strategies for entity recognition. Results: We analyzed 62 relevant papers and identified 106 active learning strategies. We grouped them into three categories: exploitation-based (60x), exploration-based (14x), and hybrid strategies (32x). We found that all studies used the F1-score as an evaluation metric. Information about hardware (6x) and execution time (13x) was only occasionally included. The 62 papers used 57 different datasets to evaluate their respective strategies. Most datasets contained newspaper articles or biomedical/medical data. Our analysis revealed that 26 out of 57 datasets are publicly accessible. Conclusion: Numerous active learning strategies have been identified, along with significant open questions that still need to be addressed. Researchers and practitioners face difficulties when making data-driven decisions about which active learning strategy to adopt. Conducting comprehensive empirical comparisons using the evaluation environment proposed in this study could help establish best practices in the domain.},
  language  = {en}
}
@incollection{ChwallekGoezlerReichert2024,
  author    = {Chwallek, Constanze and Goezler, Kaan and Reichert, Walter},
  title     = {Handling growth as a complexity driver at Faymonville},
  series = {Hidden champions case compendium: Leading global markets - case studies and texts},
  booktitle = {Hidden champions case compendium: Leading global markets - case studies and texts},
  editor    = {B{\"u}chler, Jan-Philipp and Hoon, Christina},
  publisher = {Springer Fachmedien},
  address   = {Wiesbaden},
  isbn      = {978-3-658-44300-9},
  doi       = {10.1007/978-3-658-44300-9_14},
  pages     = {209 -- 221},
  year      = {2024},
  abstract  = {The FAYMONVILLE case study describes how the family-owned company Faymonville from eastern Belgium has succeeded in becoming one of the leading manufacturers in its sector. The targeted identification of new markets, the focus on relevant customer needs, and a consistent product policy with a coordinated manufacturing concept lay the foundations for success. In this case study, students can learn about how a company can successfully resolve the fundamental contradiction between economic and customized production.},
  language  = {en}
}