ACN-sim: An open-source simulator for data-driven electric vehicle charging research
(2019) 10th ACM International Conference on Future Energy Systems, e-Energy 2019 p.411-412- Abstract
Electric vehicles have recently garnered significant attention in the research community due to their potential has a large, highly controllable load which can be used in demand response, load shaping, and renewable energy integration. However, research into practical charging algorithms has been hampered by the lack of a widely available, realistic simulation environment. To meet this need in the community, we are releasing ACN-Sim, a data-driven, opensource simulator based on our experience building and operating real-world charging systems. This simulator provides researchers who may lack access to real EV charging systems with a realistic environment to evaluate their algorithms and test their assumptions. It also provides a common... (More)
Electric vehicles have recently garnered significant attention in the research community due to their potential has a large, highly controllable load which can be used in demand response, load shaping, and renewable energy integration. However, research into practical charging algorithms has been hampered by the lack of a widely available, realistic simulation environment. To meet this need in the community, we are releasing ACN-Sim, a data-driven, opensource simulator based on our experience building and operating real-world charging systems. This simulator provides researchers who may lack access to real EV charging systems with a realistic environment to evaluate their algorithms and test their assumptions. It also provides a common platform on which algorithms can be evaluated head-to-head, allowing researchers to better understand and articulate how their work fits into the existing literature.
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- author
- Lee, Zachary ; Johansson, Daniel LU and Low, Steven H.
- organization
- publishing date
- 2019-06
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Data-driven analysis, Electric vehicle charging, Opensource software, Simulator
- host publication
- e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems
- pages
- 2 pages
- publisher
- Association for Computing Machinery (ACM)
- conference name
- 10th ACM International Conference on Future Energy Systems, e-Energy 2019
- conference location
- Phoenix, United States
- conference dates
- 2019-06-25 - 2019-06-28
- external identifiers
-
- scopus:85068687294
- ISBN
- 9781450366717
- DOI
- 10.1145/3307772.3330170
- language
- English
- LU publication?
- yes
- id
- af6f0e83-a80a-4701-b2b2-63aa0f49d50e
- date added to LUP
- 2019-07-23 15:56:58
- date last changed
- 2022-04-26 03:20:50
@inproceedings{af6f0e83-a80a-4701-b2b2-63aa0f49d50e, abstract = {{<p>Electric vehicles have recently garnered significant attention in the research community due to their potential has a large, highly controllable load which can be used in demand response, load shaping, and renewable energy integration. However, research into practical charging algorithms has been hampered by the lack of a widely available, realistic simulation environment. To meet this need in the community, we are releasing ACN-Sim, a data-driven, opensource simulator based on our experience building and operating real-world charging systems. This simulator provides researchers who may lack access to real EV charging systems with a realistic environment to evaluate their algorithms and test their assumptions. It also provides a common platform on which algorithms can be evaluated head-to-head, allowing researchers to better understand and articulate how their work fits into the existing literature.</p>}}, author = {{Lee, Zachary and Johansson, Daniel and Low, Steven H.}}, booktitle = {{e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems}}, isbn = {{9781450366717}}, keywords = {{Data-driven analysis; Electric vehicle charging; Opensource software; Simulator}}, language = {{eng}}, pages = {{411--412}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{ACN-sim: An open-source simulator for data-driven electric vehicle charging research}}, url = {{http://dx.doi.org/10.1145/3307772.3330170}}, doi = {{10.1145/3307772.3330170}}, year = {{2019}}, }