EVTradeMatch: A Mobility-Aware Multi-Objective Matching Framework for EV--EV Energy Trading
Peer-to-peer energy trading among electric vehicles (EVs) can improve charging flexibility under limited charging infrastructure, but effective EV--EV trading requires coordinated provider--consumer matching under journey-specific conditions. This paper proposes EVTradeMatch, a prediction-guided multi-objective optimization framework for mobility-aware EV--EV energy trading. Building on the EVNextTrade study, a prior learning-to-rank model for charging-node recommendation, we define charging-node suitability as a prediction-derived score reflecting the appropriateness of assigning a provider--consumer pair to a candidate charging node based on mobility, energy, and contextual trading feat...
| Authors | Md. Mahfujur Rahman, Alistair Barros, Raja Jurdak et al. |
|---|---|
| Primary category | math.OC |
| Published | 6 July 2026 |
| Last updated at source | 6 July 2026 |
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