ACM e-Energy · 2020

ORC: An Online Competitive Algorithm for Recommendation and Charging Schedule in Electric Vehicle Charging Network

Bo Sun, Tongxin Li, Steven H. Low, Danny H. K. Tsang

ACM International Conference on Future Energy Systems

How can charging recommendations and schedules be coordinated online?

ORC jointly recommends stations and prices while scheduling charging for sequential arrivals. A customizable value function supports competitive guarantees despite uncertainty in arrivals and user choices. Experiments compare operator revenue with benchmark scheduling methods.

Research themes

Cite this paper

Bo Sun, Tongxin Li, Steven H. Low, Danny H. K. Tsang. ORC: An Online Competitive Algorithm for Recommendation and Charging Schedule in Electric Vehicle Charging Network. ACM International Conference on Future Energy Systems, 2020. https://doi.org/10.1145/3396851.3397727

BibTeX
@inproceedings{tongxin-orc,
  title = {{ORC: An Online Competitive Algorithm for Recommendation and Charging Schedule in Electric Vehicle Charging Network}},
  author = {Bo Sun and Tongxin Li and Steven H. Low and Danny H. K. Tsang},
  year = {2020},
  booktitle = {ACM International Conference on Future Energy Systems},
  url = {https://doi.org/10.1145/3396851.3397727},
  doi = {10.1145/3396851.3397727}
}
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NACF turns news into structured treatments and estimates load trajectories under alternative event conditions. Reweighting and representation balancing address observed confounding. Experiments examine factual accuracy and interpretable demand perturbations without claiming that unobserved counterfactual outcomes can be directly validated.