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Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:电气工程学院

Yang Ming

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Gender:Male

Education Level:Postgraduate (Doctoral)

Alma Mater:山东大学

Paper Publications

Current position: Home / Papers
Deep Reinforcement Learning Based Optimal Schedule for a Battery Swapping Station Considering Uncertainties
Release Time:2024-05-24 | Hits:

Institution:电气工程学院

Title of Paper:Deep Reinforcement Learning Based Optimal Schedule for a Battery Swapping Station Considering Uncertainties

Journal:IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS Journal

First Author:Gao, Yuan

Document Code:9D9F4080BAF742DD83E80D8FA2605055

Volume:56

Issue:5

Page Number:5775

Number of Words:6

Translation or Not:No

Date of Publication:2020-09