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Zhenfan Yu

As seen in: MDPI
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Articles

Reinforcement Learning-Enhanced Adaptive Scheduling of Battery Energy Storage Systems in Energy Markets

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By Yang Liu, Qiuyu Lu, Zhenfan Yu, Yue Chen
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Multi-Type Energy Storage Collaborative Planning in Power System Based on Stochastic Optimization Method

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By Yinguo Yang, Qiuyu Lu, Zhenfan Yu, Weihua Wang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Distributed Control of Hydrogen-Based Microgrids for the Demand Side: A Multiagent Self-Triggered MPC-Based Strategy

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By Tingzhe Pan, Jue Hou, Xin Jin, Zhenfan Yu
| MDPI
1. Introduction With the global pursuit of renewable energy and carbon neutrality, microgrid systems are receiving more and more attention as an efficient and flexible energy distribution solution [1]. The hydrogen-based microgrid system is a potential energy transformation solution because it can realize the storage and distribution of clean energy, thus providing new possibilities for the sustainable development of the energy system [2].
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