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AI-based Decision Support for Sustainable Operation of Electric Vehicle Charging Parks

Title data

Baumgarte, Felix ; Dombetzki, Luca ; Kecht, Christoph ; Wolf, Linda ; Keller, Robert:
AI-based Decision Support for Sustainable Operation of Electric Vehicle Charging Parks.
In: Proceedings of the 54th Hawaii International Conference on System Sciences. - Honolulu, HI , 2021 . - pp. 868-877
ISBN 978-0-9981331-4-0

Official URL: Volltext

Abstract in another language

The widespread adoption of electric vehicles makes investments in charging parks both immediate and necessary to lower range anxiety and allow longer trips. However, many charging park operators struggle with sustainable and profitable operation due to high fees on peak loads and volatile availability of renewable energy. Smart charging strategies may enable such operation, but the computational complexity of most available algorithms increases significantly with the number of charging points. Thus, operators of larger charging parks need information systems that provide real-time decision support without immense cost for computation. This paper presents a model that uses recent methods from the field of Reinforcement Learning. Our model is trained on a charging park simulation with realworld data on highway traffic and day ahead energy prices. The results indicate that Reinforcement Learning is a feasible solution to improve the sustainable and profitable operation of large electric vehicle charging parks. und folgende Keywords hinzu: electric vehicle, charging park, reinforcement learning, smart charging, decision support.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 Dec 2020 09:47
Last Modified: 14 May 2021 04:57
URI: https://eref.uni-bayreuth.de/id/eprint/61081