3.8 Proceedings Paper

ACN-Data: Analysis and Applications of an Open EV Charging Dataset

Publisher

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3307772.3328313

Keywords

Electric vehicle charging; open dataset; user behavior prediction; workplace charging; on-site solar generation; duck curve

Funding

  1. NSF [CCF-1637598, ECCS-1619352, CNS-1545096, CPS-1739355, DGE-1745301]

Ask authors/readers for more resources

We are releasing ACN-Data, a dynamic dataset of workplace EV charging which currently includes over 30,000 sessions with more added daily. In this paper we describe the dataset, as well as some interesting user behavior it exhibits. To demonstrate the usefulness of the dataset, we present three examples, learning and predicting user behavior using Gaussian mixture models, optimally sizing on-site solar generation for adaptive electric vehicle charging, and using workplace charging to smooth the net demand Duck Curve.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available