EV data for PINN training

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.

本数据集源自蒙特卡洛模拟，用于生成电动汽车充电功率曲线。为训练物理信息神经网络（Physics-Informed Neural Networks, PINNs），我们对数据进行了统计整理：以x轴代表荷电状态（State of Charge, SoC）状态空间，y轴代表时间，z轴代表对应电动汽车的数量，且已对z轴数据完成归一化处理。本次上传的数据旨在用于PINN框架下的训练，以获取电动汽车聚合模型及其参数。