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Visual Analysis 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
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
2024 (English)In: Poster Proceedings of the 26th Eurographics Conference on Visualization (EuroVis 2024 Posters), Eurographics - European Association for Computer Graphics, 2024Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

A power plant is a complex real-world system associated with rich multidimensional data relevant to its construction and activity. Thus, choosing an appropriate way to visualize power plant data is important for users to understand and explore more about such systems. Most of the approaches existing in this field support only a static representation of data from a small region. This makes it hard for the users to get an overview or explore specific power plants. In this poster abstract, we describe an interactive visualization tool designed for the analysis of power plant data in Europe. Our approach provides an overview and detail visualization approach for Global Power Plant Database entries. With this tool, users can easily find power plants, see details on demand, filter, compare, and explore the power plant outage scenarios from the nearest neighbor perspective.

Place, publisher, year, edition, pages
Eurographics - European Association for Computer Graphics, 2024.
Keywords [en]
information visualization, visual analytics
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-204081DOI: 10.2312/evp.20241095ISBN: 978-3-03868-258-5 (electronic)OAI: oai:DiVA.org:liu-204081DiVA, id: diva2:1864505
Conference
EuroVis 2024 - 26th Eurographics Conference on Visualization, Odense, Denmark, May 27–31, 2024
Projects
ELLIIT D4 "Visual Analytics of Large and Complex Multilayer Technological Networks"
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsWallenberg AI, Autonomous Systems and Software Program (WASP)
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). It was also partially supported through the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation. 

Available from: 2024-06-03 Created: 2024-06-03 Last updated: 2024-06-03

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Wang, JinyiKucher, KostiantynKerren, Andreas

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