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Photon Storage Grid Integration Network with Future AI-Driven Optimization

  • Mummana Vinaykumar,
  • Arrepu Nookesh Kumar,
  • Barnikana Govindha,
  • Anga Srinivas,
  • J. Deleep Kumar,
  • B. Sowmya

摘要

Innovative energy management solutions are required due to the electric vehicle (EV) market’s expanding popularity and the rapidly developing field of renewable energy technology with AI. A significant increase in EV adoption will dramatically increase electricity demand, potentially overloading the existing power grid, especially during peak hours. The design and grid integration of battery storage and photovoltaics with deep learning techniques are shown in this paper. By utilizing solar energy to power homes and enable EV charging, our suggested solution maximizes energy utilization, and AI whispers secrets of grid stability, efficient energy utilization, and load forecasting. This research aims to leverage the power of AI and advanced technologies to create a more sustainable, efficient, and reliable energy future.