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<p>Recent technological advancements including artificial intelligence (AI), electric vehicles (EV) and smart grid systems are revolutionizing industries and society. Smart grids optimize energy distribution in real time, enhancing efficiency. The integration of artificial intelligence and electric vehicle in smart grid is a ground breaking solution for boosting efficiency, security and sustainability in energy networks. Various stakeholders have been enticed to embrace these technologies for making cleaner and greener future. To fully unlock the potential of AI-powered EVs in the smart grid system, the present study performed a comprehensive examination of the extant literature using the Scopus database and adopting the PRISMA framework for structuring the flowchart of the study. This study adopts a&#xa0;situation actor process- learning action performance (SAP-LAP) framework&#xa0;to present a blueprint of the challenges and benefits of AI-empowered EVs in the smart grid system. Finally, this study provides a thorough global scenario of the adoption of AI-powered smart grid technologies. Based on the SAP-LAP findings, the study aids managers in overcoming obstacles and inefficiencies, guiding transitions toward sustainable energy systems. Further, the study underscores the importance for policymakers to grasp the necessary incentives and regulatory structures to foster widespread adoption of AI, electric vehicles, and smart grid systems.</p>

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Synergizing the Future: Electric Vehicles, Artificial Intelligence, and Smart Grids

  • 期刊论文

  • 发表日期：

    2025年2月18日

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  • Neena Sinha,
  • Varnika Jain,
  • Himanshu,
  • Ritu Sehrawat,
  • Sanjay Dhingra

摘要

Recent technological advancements including artificial intelligence (AI), electric vehicles (EV) and smart grid systems are revolutionizing industries and society. Smart grids optimize energy distribution in real time, enhancing efficiency. The integration of artificial intelligence and electric vehicle in smart grid is a ground breaking solution for boosting efficiency, security and sustainability in energy networks. Various stakeholders have been enticed to embrace these technologies for making cleaner and greener future. To fully unlock the potential of AI-powered EVs in the smart grid system, the present study performed a comprehensive examination of the extant literature using the Scopus database and adopting the PRISMA framework for structuring the flowchart of the study. This study adopts a situation actor process- learning action performance (SAP-LAP) framework to present a blueprint of the challenges and benefits of AI-empowered EVs in the smart grid system. Finally, this study provides a thorough global scenario of the adoption of AI-powered smart grid technologies. Based on the SAP-LAP findings, the study aids managers in overcoming obstacles and inefficiencies, guiding transitions toward sustainable energy systems. Further, the study underscores the importance for policymakers to grasp the necessary incentives and regulatory structures to foster widespread adoption of AI, electric vehicles, and smart grid systems.