Page 161 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

case will ultimately contribute to sustainable cities and communities that is Goal 11. Finally,
the affordable energy and an option to earn incentive in exchange of energy will motivate
road drivers to opt for EVs. The shift towards EV will potentially result in its market growth.
Manufacturing of large number of EVs matches with Goal 8. i.e., Decent Work and Economic 36-US Sussex
growth. The growth in energy market will also be promoted through peer-to-peer direct selling
or buying energy without third-party.

36�2�2 Future work

Data collection, Proof of concept development, Model development

This use case will explore the concept of bidirectional T2G and also Telecom-toVehicle (T2V)
energy exchange assisted by Artificial Intelligence (AI). We aim to utilize AI for the following
objectives:
• Energy consumption modeling of BSs to evaluate their feasibility in contributing to T2G
and T2V energy exchange
• Energy consumption modeling of EVs during their journey to forecast their demands and
surplus energy in their batteries
• Optimized energy supply to BSs and EVs while maintaining the net-zero balance

36�3� Use case requirements

• UC36-REQ-001: Collection of massive dataset of 5G and 6G BSs, and EVs to model their
energy consumption and evaluate the excess energy they can provide from their backup
batteries.
• UC36-REQ-002: Producing accurate AI models to predict energy usage of EVs and BSs
in future times.
• UC36-REQ-003: Energy-efficient AI mechanisms with reduced carbon footprints to
optimize and manage energy exchange among EVs and BSs.
• UC36-REQ-004: Simulation platform to evaluate the feasibility of the proposal.

36�4� Sequence diagram

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