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Showing 1 - 5 results of 5 for search '(( 5 a decrease ) OR ((( a a decrease ) OR ((( _ ev decrease ) OR ( _ user decrease ))))))~', query time: 0.08s Refine Results
  1. 1
    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation

    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

    Published 2023
    “…In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …”
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  2. 2
    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation

    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

    Published 2023
    “…In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …”
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  3. 3
    Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations

    Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations by Mingze, Zhang

    Published 2023
    “…Also, the aggregator does not worsen the original power load while meeting the EV swapping demand and can decrease the daily load fluctuations by 0.65% and 12.89%, reduce the peak–valley difference by 5.81% and 7.80%, and increase the load rate by 3.67% and 4.08% in working and non-working day situations through providing the dynamic dispatchable capacity for the grid.…”
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  4. 4
    Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations

    Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations by Mingze Zhang (9947863)

    Published 2023
    “…Also, the aggregator does not worsen the original power load while meeting the EV swapping demand and can decrease the daily load fluctuations by 0.65% and 12.89%, reduce the peak–valley difference by 5.81% and 7.80%, and increase the load rate by 3.67% and 4.08% in working and non-working day situations through providing the dynamic dispatchable capacity for the grid.…”
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  5. 5
    Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers

    Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

    Published 2020
    “…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. …”
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