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

Lee, Zachary J. and Li, Tongxin and Low, Steven H. (2019) ACN-Data: Analysis and Applications of an Open EV Charging Dataset. In: Proceedings of the Tenth ACM International Conference on Future Energy Systems (e-Energy '19). Association for Computing Machinery , New York, NY, pp. 139-149. ISBN 9781450366717. http://resolver.caltech.edu/CaltechAUTHORS:20190614-091205559

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Abstract

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.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1145/3307772.3328313DOIArticle
ORCID:
AuthorORCID
Low, Steven H.0000-0001-6476-3048
Additional Information:© 2019 ACM. This dataset would not be possible without the combined efforts of PowerFlex Systems, Caltech Facilities, and JPL Facilities. Specifically we would like to thank Ted Lee, Cheng Jin and George Lee of PowerFlex who were instrumental to collecting this dataset as well as Caltech students Sophia Coplin and Garret Sullivan who worked on cleaning the dataset and developing tools to make it more accessible.. This material is based upon work supported by the NSF Graduate Research Fellowship (DGE-1745301) and NSF grants CCF-1637598, ECCS-1619352, CNS-1545096, and CPS-1739355.
Funders:
Funding AgencyGrant Number
NSF Graduate Research FellowshipDGE-1745301
NSFCCF-1637598
NSFECCS-1619352
NSFCNS-1545096
NSFECCS-1739355
Record Number:CaltechAUTHORS:20190614-091205559
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190614-091205559
Official Citation:Zachary J. Lee, Tongxin Li, and Steven H. Low. 2019. ACN-Data: Analysis and Applications of an Open EV Charging Dataset. In Proceedings of the Tenth ACM International Conference on Future Energy Systems (e-Energy '19). ACM, New York, NY, USA, 139-149. DOI: https://doi.org/10.1145/3307772.3328313
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96442
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:14 Jun 2019 22:02
Last Modified:17 Jun 2019 17:18

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