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AI and Social Anthropology for Large-Scale Vehicle-to-Grid Schemes

Published: 09 September 2022 Publication History

Abstract

The 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.

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Cited By

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  • (2024)Optimization Challenges in Vehicle-to-Grid (V2G) Systems and Artificial Intelligence Solving MethodsApplied Sciences10.3390/app1412521114:12(5211)Online publication date: 15-Jun-2024
  • (2023)Engineering IoT-Based Open MAS for Large-Scale V2G/G2VSystems10.3390/systems1103015711:3(157)Online publication date: 19-Mar-2023

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      cover image ACM Other conferences
      SETN '22: Proceedings of the 12th Hellenic Conference on Artificial Intelligence
      September 2022
      450 pages
      ISBN:9781450395977
      DOI:10.1145/3549737
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 09 September 2022

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      Author Tags

      1. AI
      2. G2V
      3. V2G
      4. electric vehicles
      5. social anthropology

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      View all
      • (2024)Optimization Challenges in Vehicle-to-Grid (V2G) Systems and Artificial Intelligence Solving MethodsApplied Sciences10.3390/app1412521114:12(5211)Online publication date: 15-Jun-2024
      • (2023)Engineering IoT-Based Open MAS for Large-Scale V2G/G2VSystems10.3390/systems1103015711:3(157)Online publication date: 19-Mar-2023

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