@misc{https://doi.org/10.21227/1f1g-tp69,<br/><span class="tab"></span>
  doi = {10.21227/1F1G-TP69},<br/><span class="tab"></span>
  url = {https://ieee-dataport.org/documents/artificial-scenario-generator-impact-study-electric-vehicle-charging-distribution-grid},<br/><span class="tab"></span>
  author = {Khan,<br/><span class="tab"></span> Komal and El-Sayed,<br/><span class="tab"></span> Islam  and Arboleya,<br/><span class="tab"></span> Pablo},<br/><span class="tab"></span>
  keywords = {Power and Energy,<br/><span class="tab"></span> Electric Vehicles,<br/><span class="tab"></span> charging systems,<br/><span class="tab"></span> charging load simulation,<br/><span class="tab"></span> EV charging load profiles,<br/><span class="tab"></span> scenario generation},<br/><span class="tab"></span>
  title = {Artificial Scenario Generator for the Impact Study of Electric Vehicle Charging on the Distribution Grid},<br/><span class="tab"></span>
  publisher = {IEEE DataPort},<br/><span class="tab"></span>
  year = {2021},<br/><span class="tab"></span>
  copyright = {Creative Commons Attribution 4.0 International}
}