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15 ta ish

Ish: Reinforcement Learning Models for Embedded System Optimization in EV and Smart Grid Education

  1. Optimizing renewable energy systems through artificial intelligence: Review and future prospects

    Kingsley Ukoba, Kehinde O. Olatunji, Eyitayo Adeoye +2

    MaqolaOchiq kirish202410 iqtibos
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  2. A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems

    Arvind Singh, M. S. Sujatha, Akshay Kadu +3

    Maqola20254 iqtibos
    ABI

  3. Electric Vehicle Charging System in the Smart Grid Using Different Machine Learning Methods

    Tehseen Mazhar, Rizwana Naz Asif, Muhammad Amir Malik +5

    Maqola20234 iqtibos
    ABI

  4. Sustainable power management in light electric vehicles with hybrid energy storage and machine learning control

    R Punyavathi, A. Pandian, Arvind R. Singh +3

    Maqola20243 iqtibos
    ABI

  5. Optimal Electric Vehicle Battery Management Using Q-learning for Sustainability

    Pannee Suanpang, Pitchaya Jamjuntr

    Maqola20242 iqtibos
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  6. Review and Evaluation of Reinforcement Learning Frameworks on Smart Grid Applications

    Dimitrios Vamvakas, Panagiotis Michailidis, Christos Korkas +1

    Maqola20232 iqtibos
    ABI

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