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Poster Abstract

DOI: 10.4230/LIPIcs.GD.2025.55

EnMRgy: Energy Network Analysis in Mixed Reality (Poster Abstract)

Authors: Lucas Joos, Maximilian T. Fischer, Alexander Frings, and Daniel A. Keim

Published in: LIPIcs, Volume 357, 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)

Abstract

The shifting and ever-growing demand for energy, for instance, driven by transformations towards new technologies such as electric vehicles, heat pumps, battery storage, or rooftop solar, requires urban infrastructure to adapt. Upgrading legacy infrastructure, such as undersized electric cables, is costly, time-consuming, and disruptive, and therefore requires a holistic perspective and thorough urban planning that considers multi energy systems and co-located utilities. We present EnMRgy, a mixed-reality decision-support system that enables experts and decision-makers to explore a city’s energy distribution networks, together with demand simulations and scenarios for infrastructure development. Within an immersive 3D city context, an energy network such as a power grid, modelled as a weighted graph, is visualised. Interactive functionalities allow users to adjust visual representations and compare scenarios across three different views. Our work enables evidence-based strategic planning for future-ready energy networks.

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Lucas Joos, Maximilian T. Fischer, Alexander Frings, and Daniel A. Keim. EnMRgy: Energy Network Analysis in Mixed Reality (Poster Abstract). In 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 357, pp. 55:1-55:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{joos_et_al:LIPIcs.GD.2025.55,
  author =	{Joos, Lucas and Fischer, Maximilian T. and Frings, Alexander and Keim, Daniel A.},
  title =	{{EnMRgy: Energy Network Analysis in Mixed Reality}},
  booktitle =	{33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)},
  pages =	{55:1--55:5},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-403-1},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{357},
  editor =	{Dujmovi\'{c}, Vida and Montecchiani, Fabrizio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2025.55},
  URN =		{urn:nbn:de:0030-drops-250412},
  doi =		{10.4230/LIPIcs.GD.2025.55},
  annote =	{Keywords: Energy, Node-Link Diagrams, Immersive Analytics, Mixed Reality}
}

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EnMRgy: Energy Network Analysis in Mixed Reality (Poster Abstract)

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