S. Gagin, A. Tekles and H. de Meer, "Training Size Matters: Impact of Training Data Size on Electrical Load Forecasting" 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. pp. 677-686.
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