D-A-CH Conference on Energy Informatics

Energy Informatics pp 179-191 | Cite as

OpenGridMap: An Open Platform for Inferring Power Grids with Crowdsourced Data

  • José Rivera
  • Christoph Goebel
  • David Sardari
  • Hans-Arno Jacobsen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9424)

Abstract

The energy transition requires profound changes to the power grid, both on the transmission and distribution level. The ability to assess the impact of these changes, e.g., the integration of more solar power or electric mobility, requires data and tools that only exist partially today. The goal of this paper is to introduce OpenGridMap, a new project with the goal of creating an open platform for inferring realistic power grids based on actual data. Our vision is to provide a tool to researchers and practitioners that is able to produce realistic input data for simulation studies. OpenGridMap will support the entire process from data collection to formatting grid data for various purposes. We explore innovative ways to capture data and produce power grid approximations, e.g., using smartphone apps, expert classification, existing map APIs, and graph inference algorithms. The latest developments of the project can be found at opengridmap.com.

Keywords

Power grids Power distribution Geographic information systems Crowdsourcing 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • José Rivera
    • 1
  • Christoph Goebel
    • 1
  • David Sardari
    • 1
  • Hans-Arno Jacobsen
    • 1
  1. 1.Department of Computer ScienceTechnische Universität München (TUM)MunichGermany

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