The Application of Improved Random Forest Algorithm on the Prediction of Electric Vehicle Charging Load

The Application of Improved Random Forest Algorithm on the Prediction of Electric Vehicle Charging Load

To cope with the increasing charging demand of electric vehicle (EV), this paper presents a forecasting method of EV charging load based on random forest algorithm (RF) and the load data of a single charging station. This method is completed by the classification and regression tree (CART) algorithm...

Full description

Bibliographic Details
Main Authors: Yiqi Lu, Yongpan Li, Da Xie, Enwei Wei, Xianlu Bao, Huafeng Chen, Xiancheng Zhong
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
electric vehicle (EV)
random forest
charging load
data analysis
load forecasting
Online Access:https://www.mdpi.com/1996-1073/11/11/3207

Internet

https://www.mdpi.com/1996-1073/11/11/3207

Similar Items