Using Bayesian Deep Learning for Electric Vehicle Charging Station Load Forecasting

Using Bayesian Deep Learning for Electric Vehicle Charging Station Load Forecasting

In recent years, replacing internal combustion engine vehicles with electric vehicles has been a significant option for supporting reducing carbon emissions because of fossil fuel shortage and environmental contamination. However, the rapid growth of electric vehicles (EVs) can bring new and uncerta...

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Bibliographic Details
Main Authors: Dan Zhou, Zhonghao Guo, Yuzhe Xie, Yuheng Hu, Da Jiang, Yibin Feng, Dong Liu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
electric vehicle charging station
load forecasting
Bayesian deep learning
long short-term memory (LSTM) network
capture uncertainty
Online Access:https://www.mdpi.com/1996-1073/15/17/6195

Internet

https://www.mdpi.com/1996-1073/15/17/6195

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