S. Gagin, M. Bettermann and H. de Meer, "Multi-vector optimization scheme for distributed components in energy islands" , e & i Elektrotechnik und Informationstechnik , 08 2023.
DOI: 10.1007/s00502-023-01145-1

S. Gagin, A. Carrasco-Revilla, H. de Meer and N. Sánchez Almodóvar, "Replicable Machine Learning Workflow for Energy Forecasting" in 2nd Workshop on Machine Learning & Netwoking (MaLeNe), co-located with the 5th International Conference on Networked Systems (NetSys 2023), Potsdam, Berlin, September 4, 2023: proceedings , Universität Augsburg , Dec. 2023.
https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1096367

S. Klingert, M. Niederkofler, H. de Meer, M. Bielig, S. Gagin, C. Kacperski and M. Strobbe, "The Best of both Worlds: Social and Technical Challenges of Creating Energy Islands" in Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS , SciTePress , 2023. pp. 129-136.
DOI: 10.5220/0011974600003491
https://www.scitepress.org/Papers/2023/119746/119746.pdf

S. Gagin, S. Klingert, M. Niederkofler and H. de Meer, "ICT Design for Community-empowered Sustainable Multi-Vector Energy Islands" in ComForEn 2021 (not peer-reviewed) , 2021. pp. 37.
https://www.comforen.org/.cm4all/mediadb/Tagungsbaende/ComForEn_2021_Proceedings.pdf#page=37