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This IEEE conference talk explores an Immersive Analytics application designed for data-driven monitoring in hydropower facilities. Discover how this VR prototype enables users to navigate through a full-scale turbine model while visualizing both simulated water flows under three different energy supply conditions and sensor-collected data. The research, presented by Marina L. Medeiros (VRVis Forschungs-GmbH), Hannes Kaufmann (Vienna University of Technology), and Johanna Schmidt (VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH), confirms that Immersive Analytics adds significant value to the presentation and analysis of situated data. The 10-minute presentation advances design directions for Immersive Analytics applications specifically tailored for domain experts in hydroelectric power plant monitoring and maintenance prediction.
