EV data for PINN training

Citation Author(s):
Yunfeng
Ma
The Hong Kong University of Science and Technology
Submitted by:
Yunfeng Ma
Last updated:
Thu, 09/05/2024 - 12:03
DOI:
10.21227/x4g7-f042
License:
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Abstract 

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.

Instructions: 

The uploaded data can be used for training within the PINN framework to obtain the EV aggregation model and its parameters.

Comments

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Submitted by Tasneim Aldhanhani on Mon, 09/23/2024 - 11:36