Uncertainty Visualization for Renewable Energy Potential

Research output: Contribution to conferencePaperpeer-review


In this paper, we present the reV (Renewable Energy Potential) Dashboard, an interactive browser-based tool for uncertainty visualization and data exploration built using customized plotly dash components. With continuing development and utilization of computational models to study the power sector there is an increasing need for data-driven visualization tools which allow scientists, researchers, and engineers to interact with their data in real-time. Our principle motivation for developing this interactive uncertainty visualization was to provide domain scientists and modelers a platform which allows them to better understand and communicate scientific findings stemming from intricate information encoded in their data that is otherwise difficult to capture by conventional analysis. The development of customized dashboard components using the React programming paradigm, combined with fully pre-processed data, allows for users to select a variety of data options to update and manipulate the visualization in a straightforward computationally efficient manner.

Original languageAmerican English
Number of pages6
StatePublished - 22 Jun 2021
Event12th ACM International Conference on Future Energy Systems, e-Energy 2021 - Virtual, Online, Italy
Duration: 28 Jun 20212 Jul 2021


Conference12th ACM International Conference on Future Energy Systems, e-Energy 2021
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2021 ACM.

NREL Publication Number

  • NREL/CP-2C00-79743


  • dashboard
  • uncertainty visualization
  • wind potential


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