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EV data for PINN training

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/ev-data-pinn-training
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The dataset is derived from Monte Carlo simulations, generating EV charging power curves. For training the Physics-Informed Neural Networks (PINNs), we have statistically organized the data with the x-axis representing the State of Charge (SoC) state space, the y-axis representing time, and the z-axis representing the corresponding number of electric vehicles. The z-axis data has been normalized. The uploaded data is intended for training within the PINN framework to obtain the EV aggregation model and its parameters.
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Ma, Yunfeng
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