Codice QR

A blockchain-integrated, energy-efficient dual-agent reinforcement learning framework for resilient electric vehicles

This paper introduces an energy-efficient, Blockchain-Based, Dual-Agent, Reinforcement Learning (BDARL) model of resilient EV-grid integrative effect. All EV energy transactions and agent decisions are validated by the blockchain layer that is integrated through a lightweight proof-of-stake consensu...

Descrizione completa

Salvato in:
Autori principali: Jagdish R. Yadav, Asha Durafe, P Anitha, Ch.Phani Kumar, Reddi Khasim Shaik, Gutti Yateesh
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2026-04-01
Serie:Ain Shams Engineering Journal
Soggetti:
Blockchain
Reinforcement learning
Electric vehicles
Dual-agent systems
Cybersecurity
Smart charging
Accesso online:http://www.sciencedirect.com/science/article/pii/S2090447926001103
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi