Stepan Gagin

Phone: +49(0)851/509-4052

Fax: +49(0)851/509-3052

Stepan.Gagin@uni-passau.de

Room: ITZ/IH 150

Innstraße 43

Passau

Lehrstuhl für Informatik mit Schwerpunkt Rechnernetze und Rechnerkommunikation

Courses

Winter semester 2025/26

6205UE Energy Informatics I

Winter semester 2024/25

Publications

This publication material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder

2025

S. Gagin, E. Goller and H. de Meer, "Poster Abstract: Knowledge-Based Approach for Multi-Vector Energy Management in Local Energy Communities [accepted, potential publication in 2025]" in 14th DACH+ Energy Informatics Conf., Sep. 17-19, 2025, Aachen, Germany , ACM Energy Informatics Review , 2025.

S. Gagin, K. Zellmeier and H. de Meer, "Poster Abstract: Multi-Vector Energy Scheduling for Local Energy Communities: A Real-World Application [accepted, potential publication in 2025]" in 14th DACH+ Energy Informatics Conf., Sep. 17-19, 2025, Aachen, Germany , ACM Energy Informatics Review , 2025.

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

2023

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

2021

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

Chair of Computer Networks and Computer Communications