S. Gagin, A. Tekles and H. de Meer, "Training Size Matters: Impact of Training Data Size on Electrical Load Forecasting [accepted, potential publication in 2025]" in The 6th International Workshop on Energy Data and Analytics (EDA), June 17th, 2025, Rotterdam, Netherlands, Proceedings of the 16th ACM Int’l. Conf. on Future and Sustainable Energy Systems (e-Energy '25) , ACM , Jun. 2025.
DOI: 10.1145/3679240.3734635

S. Gagin, M. Bettermann and H. de Meer, "Multi-vector optimization scheme for distributed components in energy islands" , e & i Elektrotechnik und Informationstechnik , vol. 140 , no. 5 , pp. 460-470 , 08 2023. Springer Nature .
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 11. Symposium Communications for Energy Systems (Vienna, Austria) , 2021. pp. 37-46.
https://www.comforen.org/.cm4all/mediadb/Tagungsbaende/ComForEn_2021_Proceedings.pdf#page=37