ESTIMATING THE CHARGING CONSUMPTION FOR EVs USING A NOVEL NEURAL NETWORK TECHNIQUE

ESTIMATING THE CHARGING CONSUMPTION FOR EVs USING A NOVEL NEURAL NETWORK TECHNIQUE

In this study, we introduce the water wave optimized bidirectional long short-term memory (WWO-BLSTM) model for predicting the charging usage of electric vehicles (EVs).WWO can be utilized to optimize the charging schedules of EVs, enabling the flexible change of charging patterns. The estimation of...

Full description

Bibliographic Details
Main Authors: G. Ezhilarasan, Kalyan Acharjya Maharishi, Ajay Kumar Noida, Anup Kumar Arka
Format: Article
Language:English
Published: University of Kragujevac 2024-03-01
Series:Proceedings on Engineering Sciences
Subjects:
electric vehicle (evs)
energy consumption
prediction
charging
neural network
water wave optimized bidirectional long short-term memory (wwo-blstm)
Online Access:https://pesjournal.net/journal/v6-n1/26.pdf

Internet

https://pesjournal.net/journal/v6-n1/26.pdf

Similar Items