Optimal Control Scheme of Electric Vehicle Charging Using Combined Model of XGBoost and Cumulative Prospect Theory

Optimal Control Scheme of Electric Vehicle Charging Using Combined Model of XGBoost and Cumulative Prospect Theory

In this paper, we propose the XPaC (XGBoost Prediction and Cumulative Prospect Theory (CPT)) model to minimize the operational losses of the power grid, taking into account both the prediction of electric vehicle (EV) charging demand and the associated uncertainties, such as when customers will char...

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Bibliographic Details
Main Authors: Youseok Lim, Sungwoo Bae, Jun Moon
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
EV charging prediction and control
power grid stability
XGBoost
cumulative prospect theory (CPT)
long short-term memory (LSTM)
Online Access:https://www.mdpi.com/1996-1073/17/24/6457

Internet

https://www.mdpi.com/1996-1073/17/24/6457

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