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

Simple item page
dc.contributor.authorBaumgarte, Felix
dc.contributor.authorDombetzki, Luca
dc.contributor.authorKecht, Christoph
dc.contributor.authorWolf, Linda
dc.contributor.authorKeller, Robert
dc.date.accessioned2020-12-24T19:09:17Z
dc.date.available2020-12-24T19:09:17Z
dc.date.issued2021-01-05
dc.description.abstractThe 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.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.107
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/70719
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAnalytics and Decision Support for Green IS and Sustainability Applications
dc.subjectcharging park
dc.subjectdecision support
dc.subjectelectric vehicle
dc.subjectreinforcement learning
dc.subjectsmart charging
dc.titleAI-based Decision Support for Sustainable Operation of Electric Vehicle Charging Parks
prism.startingpage868

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0086.pdf
Size:
2.9 MB
Format:
Adobe Portable Document Format
Download

Collections

Analytics and Decision Support for Green IS and Sustainability Applications