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AI and social anthropology for large-scale Vehicle-to-Grid schemes

Rigas Emmanouil S., Akasiadis Charilaos, Vardaki Evangelia, Chalkiadakis Georgios

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URIhttp://purl.tuc.gr/dl/dias/7C31297F-25F2-48B3-A6C2-6445BED5206D-
Identifierhttps://doi.org/10.1145/3549737.3549757-
Identifierhttps://dl.acm.org/doi/10.1145/3549737.3549757-
Languageen-
Extent4 pagesen
TitleAI and social anthropology for large-scale Vehicle-to-Grid schemesen
CreatorRigas Emmanouil S.en
CreatorAkasiadis Charilaosen
CreatorVardaki Evangeliaen
CreatorΒαρδακη Ευαγγελιαel
CreatorChalkiadakis Georgiosen
CreatorΧαλκιαδακης Γεωργιοςel
PublisherAssociation for Computing Machinery (ACM)en
Content SummaryThe use of Electric Vehicles (EVs) is a main pathway to decrease CO2 emissions. Apart from mobility services, EVs can also utilize their batteries when they are not en route to increase the storage capacity of the electricity network. This in turn can improve the utilization of energy from renewable sources that are characterized by intermittent production. In the so-called Vehicle-to-Grid (V2G) energy provision, drivers offer their EVs as temporary energy storage units, but this comes with substantial losses in comfort or equipment degradation costs. In this paper we discuss how, departing from the strict algorithmic and mechanism design techniques, social anthropology can help AI in designing V2G schemes that will be explainable and thus easily comprehensible and acceptable by laypeople. We argue that intertwining the scheduling algorithms and mechanisms with socio-anthropological aspects can: enhance the effectiveness of V2G incentivization mechanisms; help engage and associate people with the use and control of green energy technologies; boost the creation of novel and highly realistic large-scale V2G simulation platforms; and create a new and challenging interdisciplinary research area.en
Type of ItemΣύντομη Δημοσίευση σε Συνέδριοel
Type of ItemConference Short Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2024-09-13-
Date of Publication2022-
SubjectElectric vehiclesen
SubjectV2Gen
SubjectG2Ven
SubjectAIen
SubjectSocial anthropologyen
Bibliographic CitationE. Rigas, C. Akasiadis, E. Vardaki, and G. Chalkiadakis, “AI and social anthropology for large-scale Vehicle-to-Grid schemes,” in Proceedings of the 12th Hellenic Conference on Artificial Intelligence (SETN 2022), Sep. 2022, doi: 10.1145/3549737.3549757.en

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