[Ieee_vis] EnergyVis 2024 Call for Papers

Gruchalla, Kenny Kenny.Gruchalla at nrel.gov
Sat May 4 00:54:04 CEST 2024


We are excited to announce the call for papers for the 4th Workshop on Energy Data Visualization, EnergyVis 2024, to be held in conjunction with the IEEE VIS conference in St. Pete Beach, FL, in October 2024.



The EnergyVis 2024 workshop aims to bring together scientists, researchers, and practitioners from the energy and visualization domains to critically assess and discuss energy data visualization in the context of the evolving energy sector. This year’s workshop is themed around decision support. We are accepting short papers, up to four pages, plus an additional page of references. We invite innovative ideas, design concepts, requirement analysis, and work-in-progress relating to the following technical scope:



  *   Data visualization techniques for emerging energy systems and smart grids.
  *   Visualization and visual analytics for energy demand forecasting, load balancing, energy trading, and market operations.
  *   Design and evaluation of visualizations for decision support.
  *   Interaction techniques for exploring and navigating large and complex energy data.
  *   Case studies, lessons learned, and best practices in energy data visualization.
  *   Position Statements including but limited to:
     *   Challenges in designing effective visualizations for energy data.
     *   Impact of stakeholder roles in visualization consumption patterns for energy.
     *   Future research directions in energy data visualization.

Workshop and submission details can be found at: https://www.energyvis.org<https://www.energyvis.org/>

Important Dates:
    Submission Deadline: June 28, 2024
    Author Notification: July 26, 2024
    Camera-ready submission: August 9, 2024
    Workshop: October 13 or 14, 2024

Workshop Chairs
   Kenny Gruchalla (National Renewable Energy Laboratory)
   Anjana Arunkumar (Arizona State University)
   Sarah Goodwin (Monash University)
   Arnaud Prouzeau (Université Paris-Saclay, Inria, CNRS)
   Lyn Bartram (Simon Fraser University)


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