Software accompanying the publication: Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability

doi: 10.4121/19166285.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19166285
Datacite citation style:
Grigorii Veviurko; de Weerdt, Mathijs; Wendelin Böhm (2022): Software accompanying the publication: Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/19166285.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
This repository will contain the code for the paper:
Veviurko, G.; Böhmer, W.; Mackay L.; de Weerdt, M. Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability, Energies 2022.
history
  • 2022-02-15 first online, published, posted
publisher
4TU.ResearchData
format
csv, ipynb, md, txt
funding
  • Ministry of Economic Affairs of the Netherlands, TEUE418010
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Algorithmics group.

DATA

files (1)