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Runnan Zou

Master student in Mechanical Engineering in University of Ottawa rzou043@uottawa.ca

Publications

Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication

Parvizi P, Zou R, Bellinger C, et al. Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication[J]. arXiv preprint arXiv:2303.07516, 2023.
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DQL Energy Management: An Online-Updated Algorithm and Its Application in Fix-Line Hybrid Electric Vehicle (Journal)

R Zou, L Fan, Y Dong, S Zheng, C Hu. DQL Energy Management: An Online-Updated Algorithm and Its Application in Fix-Line Hybrid Electric Vehicle[J]. Energy, 2021, 225: 120174.
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Research on Strategy of Hybrid Vehicle Controller (Thesis) (Chinese)

R Zou. Research on Strategy of Hybrid Vehicle Controller, Beijing Institute of Technology, 2020.
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Design of An Integrated Energy Management Strategy for A Plug-In Hybrid Electric Bus (Journal)

L Fan, Y Zhang, H Dou, R Zou. Design of An Integrated Energy Management Strategy for A Plug-In Hybrid Electric Bus[J]. Journal of Power Sources, 2020, 448: 227391.
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A Hierarchical Energy Management for Hybrid Electric Tracked Vehicle Considering Velocity Planning with Pseudospectral Method (Journal)

J Wu, Y Zou, X Zhang, G Du, G Du, R Zou. A hierarchical energy management for hybrid electric tracked vehicle considering velocity planning with pseudospectral method[J]. IEEE Transactions on Transportation Electrification, 2020, 6(2): 703-716.
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Multi-Objective Optimal Energy Management of Microgrids Including Plug-In Electric Vehicles with the Vehicle to Grid Capability for Energy Resources Scheduling (Journal)

F Jiao, Y Zou, X Zhang, R Zou. Multi-objective optimal energy management of microgrids including plug-in electric vehicles with the vehicle to grid capability for energy resources scheduling[J]. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2020: 0957650920942998.
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A Self-Adaptive Energy Management Strategy for Plug-in Hybrid Electric Vehicle Based on Deep Q Learning (Conference Proceeding)

R Zou, Y Zou, Y Dong, L Fan. A Self-Adaptive Energy Management Strategy for Plug-in Hybrid Electric Vehicle Based on Deep Q Learning[C]. 4th International Conference on Artificial Intelligence, Automation and Control Technologies, Hangzhou, 2020.
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Urban Subway Vehicle Dynamic Modelling and Simulation (Conference Proceeding)

X Cui, R Zou, M Gu, Y Zou. Urban Subway Vehicle Dynamic Modelling and Simulation[C]. 2019 International Conference on Cloud Technology and Communication Engineering, Wuhan, 2019.
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Hybrid Power Vehicle Accelerator Control Method and System Based on Deep Reinforcement Learning (Patent) (Chinese)

Y Zou, X Zhang, F Sun, R Zou. Hybrid Power Vehicle Accelerator Control Method and System Based on Deep Reinforcement Learning: CN:202010401009:A[P], 2021.03.23
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