Attention-Based Hydrogen Refueling Imputation Model for Efficient Hydrogen Refueling Stations

Attention-Based Hydrogen Refueling Imputation Model for Efficient Hydrogen Refueling Stations

During hydrogen refueling, the data values determining the state of charge (SoC) of a vehicle can be missing due to internal and external factors. This causes inaccurate SoC estimation, resulting in oversupply or undersupply. To overcome this issue, an attention-based hydrogen refueling imputation (...

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Bibliographic Details
Main Authors: Keunsoo Ko, Changgyun Kim
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
efficient hydrogen refueling station
data imputation
deep learning
attention mechanism
hydrogen optimization
process optimization
Online Access:https://www.mdpi.com/2076-3417/14/22/10332
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https://www.mdpi.com/2076-3417/14/22/10332

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