Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods

Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods

Plug-in Electric Vehicle (PEV) user charging behavior has a significant influence on a distribution network and its reliability. Generally, monitoring energy consumption has become one of the most important factors in green and micro grids; therefore, predicting the charging demand of PEVs (the ener...

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Bibliographic Details
Main Authors: Ahmad Almaghrebi, Fares Aljuheshi, Mostafa Rafaie, Kevin James, Mahmoud Alahmad
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Energies
Subjects:
Plug-in Electric Vehicle
public charging stations
charging behavior
charging demand
machine learning
data-driven
Online Access:https://www.mdpi.com/1996-1073/13/16/4231

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