2026-07-22T22:30:53Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:25041 2026-02-09T07:54:03Z ddc:004 open_access

EnMRgy: Energy Network Analysis in Mixed Reality (Poster Abstract) Joos, Lucas Fischer, Maximilian T. Frings, Alexander Keim, Daniel A. Energy Node-Link Diagrams Immersive Analytics Mixed Reality 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Lucas Joos and Maximilian T. Fischer and Alexander Frings and Daniel A. Keim 2025 Is Part Of LIPIcs, Volume 357, 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GD.2025.55 urn:nbn:de:0030-drops-250412 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2025.55 eng https://creativecommons.org/licenses/by/4.0/legalcode