Deep Reinforcement Learning-Based Spatiotemporal Decision of Utility-Scale Highway Portable Energy Storage Systems-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning-Based Spatiotemporal Decision of Utility-Scale Highway Portable Energy Storage Systems

Published:2024-01 Issue:1 Volume:60 Page:966-975
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Ding Yongkang¹,Qu Guannan²^ORCID,Chen Xinjiang¹^ORCID,Wang Jianxiao³^ORCID,Song Jie¹^ORCID,He Guannan¹^ORCID

Affiliation:

1. Department of Industrial Engineering and Management, Peking University, Beijing, China

2. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA

3. National Engineering Laboratory for Big Data Analysis and Applications, Peking University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

High-performance Computing Platform of Peking University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/28/10410107/10122695.pdf?arnumber=10122695

Reference51 articles.

1. Utility-Scale Portable Energy Storage Systems

2. Opportunities and challenges for a sustainable energy future

3. Long-Duration Electricity Storage Applications, Economics, and Technologies

4. Shaping future low-carbon energy and transportation systems: Digital technologies and applications

5. The impacts of storing solar energy in the home to reduce reliance on the utility

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mobile Energy-Storage Technology in Power Grid: A Review of Models and Applications;Sustainability;2024-08-09

2. Scheduling Strategy for Highway Mobile Energy Storage Vehicles;2023 9th International Conference on Mechanical and Electronics Engineering (ICMEE);2023-11-17

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