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EuroEnergyVis: Interactive Visualization of Power Plant Data for European Countries
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (iVis, INV)ORCID iD: 0009-0005-0732-212X
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (iVis, INV)ORCID iD: 0000-0002-1907-7820
Lund University, Lund, Sweden.ORCID iD: 0000-0001-6046-1878
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM). (iVis, INV)ORCID iD: 0000-0002-0519-2537
2025 (English)In: Proceedings of the 18th International Symposium on Visual Information Communication and Interaction (VINCI '25), Association for Computing Machinery (ACM), 2025, article id 12Conference paper, Published paper (Refereed)
Abstract [en]

Electric power is the foundation of modern society, yet Europe is currently facing an energy crisis, increasing interest in power generation, energy infrastructure, and grid resilience. However, power plant data are complex and multidimensional, making it difficult to gain an overview or understanding. Visualization methods can help to reduce cognitive load and facilitate exploration of such data. In this paper, we propose EuroEnergyVis, a web-based visualization approach designed for the interactive exploration of power plant data across European countries. The design requirements were motivated by gaps identified in prior work. We conducted interviews with six domain experts in power systems and energy, which indicate that our tool enhances the user experience when exploring European power plants. Their reflections also suggest directions for future work.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2025. article id 12
Keywords [en]
information visualization, visual analytics, human-centered computing
National Category
Human Computer Interaction Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-219040DOI: 10.1145/3769534.3769541OAI: oai:DiVA.org:liu-219040DiVA, id: diva2:2009080
Conference
18th International Symposium on Visual Information Communication and Interaction (VINCI '25), 1–3 December 2025, Linz, Austria
Projects
ELLIIT D4 "Visual Analytics of Large and Complex Multilayer Technological Networks"
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Note

This research is part of the project “Visual Analytics of Large and Complex Multilayer Technological Networks” supported by the ELLIIT environment for strategic research in Sweden (project D4).

Available from: 2025-10-26 Created: 2025-10-26 Last updated: 2025-12-19

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Wang, JinyiKucher, KostiantynKerren, Andreas

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