Published August 24, 2023 | Version 0.1
Dataset Open

Electric vehicle occupancy of charging points in the city of Paris

  • 1. EDF R&D and University Paris-Saclay
  • 2. EDF R&D and Sorbonne University
  • 3. EDF R&D
  • 4. Ecole des Mines de Paris
  • 5. Graz University of Technology
  • 6. CY Tech
  • 7. SLB, AI Lab
  • 8. Veolia S&TE
  • 9. Air Liquide
  • 10. INRIA
  • 1. EDF R&D and University Paris-Saclay
  • 2. EDF R&d and University Paris-Saclay
  • 3. EDF R&D and Sorbonne University
  • 4. EDF R&D
  • 5. Ecole des Mines de Paris
  • 6. Graz University of Technology
  • 7. CY Tech
  • 8. SLB, AI Lab
  • 9. Veolia S&TE
  • 10. Air Liquide
  • 11. INRIA

Description

Dataset collected by EDF R&D using the Paris Data open data platform, providing real-time occupancy of public charging points for electric vehicles in the city of Paris. This data.zip archive should be used at the root of the following gitlab repository (it replaces the empty data folder): smarter-mobility-data-challenge/additional_materials. V1 corresponds to the data provided for the Smarter Mobility Challenge, augmented with exogenous features such as weather and traffic. V2 corresponds to additional raw observations of occupancy data collected and accompanied by initial data processing.

Files

data.zip

Files (3.3 GB)

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md5:2ef7687dc4103ad640e7c70bb2c03d99
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Additional details

References

  • Amara-Ouali, Yvenn, et al. "Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge." arXiv preprint arXiv:2306.06142 (2023).