Search Results - "Qin, Zhaoming"

Privacy Preserving Load Control of Residential Microgrid via Deep Reinforcement Learning by Qin, Zhaoming, Liu, Di, Hua, Haochen, Cao, Junwei

“…Demand side management has been proved to be effective in improving the operating efficiency of microgrids, while posing a severe threat to user privacy. This…”
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Incremental incentive mechanism design for diversified consumers in demand response by Liu, Di, Qin, Zhaoming, Hua, Haochen, Ding, Yi, Cao, Junwei

“…•An incremental incentive mechanism considering consumer differences is proposed.•Excessive consumer surplus is avoided through changes of incremental…”
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Data-Driven Dynamical Control for Bottom-up Energy Internet System by Hua, Haochen, Qin, Zhaoming, Dong, Nanqing, Qin, Yuchao, Ye, Maojiao, Wang, Zidong, Chen, Xingying, Cao, Junwei

“…With the increasing concern on climate change and global warming, the reduction of carbon emission becomes an important topic in many aspects of human society…”
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Triisopropyl borate as an electrolyte additive for improving the high voltage stability of LiNi0.6Co0.2Mn0.2O2 cathode by Qin, Zhaoming, Hong, Shu, Hong, Bo, Duan, Boyu, Lai, Yanqing, Feng, Jiang

“…Triisopropyl borate electrolyte additive is introduced to improve the cycled stability of LiNi0.6Co0.2Mn0.2O2 (NCM622) cathode operating under 4.5 V…”
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Tributyl borate as a novel electrolyte additive to improve high voltage stability of lithium cobalt oxide in carbonate-based electrolyte by Qin, Zhaoming, Hong, Bo, Duan, Boyu, Hong, Shu, Chen, Yuncai, Lai, Yanqing, Feng, Jiang

“…Tributyl borate is used as a novel electrolyte additive to improve the stability of LiCoO2 cathode operating at a high charging-cutoff voltage. The HOMO energy…”
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1, 3, 5-Pentanetricarbonitrile additive for improving high voltage stability of lithium cobalt oxide cells by Duan, Boyu, Hong, Bo, Li, Jie, Qin, Zhaoming, Jiang, Feng, Lai, Yanqing

“…In this work, 1, 3, 5-Pentanetricarbonitrile (PTN) is adopted as a novel electrolyte additive to improve the electrochemical characteristics of LiCoO2 cathode…”
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Effect of KBF4 additive on high voltage cycling performance of lithium-ion batteries by Qin, Zhaoming, Hong, Bo, Fang, Jing, Zhang, Kai, Zhang, Zhian, Lai, Yanqing

“…Potassium tetrafluoroborate (KBF4), as a high-efficiency electrolyte additive, effectively enhances the electrochemical performance of LiCoO2/Li cells…”
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Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling under Data Governance by Qin, Zhaoming, Dong, Nanqing, Liu, Di, Wang, Zhefan, Cao, Junwei

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LiPO2F2 as a LiPF6 Stablizer Additive to Improve the high- temperature Performance of the NCM811/SiOx@C Battery by Song, Wenfeng, Qin, Zhaoming, Duan, Boyu, Hong, Bo, Liu, Yexiang, Hong, Shu

“…Fluoroethylene Carbonate (FEC) is an indispensable additive to improve the cycle stability of silicon cathode, but the incompatibility between FEC and LiPF6…”
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Demand-Side Joint Electricity and Carbon Trading Mechanism by Hua, Haochen, Chen, Xingying, Gan, Lei, Sun, Jiaxiang, Dong, Nanqing, Liu, Di, Qin, Zhaoming, Li, Kang, Hu, Shiyan

“…Decarbonization of the whole energy chain has been recognized as a measure to tackle the global challenge of climate change, and significant progress has…”
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Data-Driven Output Feedback Control Based on Behavioral Approach by Qin, Zhaoming, Karimi, Alireza

“…In this work, we propose a novel data-driven representation for general linear time-invariant (LTI) systems based on behavioral system theory. This…”
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Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid by Qin, Zhaoming, Dong, Nanqing, Xing, Eric P, Cao, Junwei

“…As a scalable data-driven approach, multi-agent reinforcement learning (MARL) has made remarkable advances in solving the cooperative residential load…”
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Does Explicit Prediction Matter in Deep Reinforcement Learning-Based Energy Management? by Qin, Zhaoming, Zhang, Huaying, Zhao, Yuzhou, Xie, Hong, Cao, Junwei

“…As a model-free optimization and decision-making method, deep reinforcement learning (DRL) has been widely applied to the field of energy management in energy…”
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Does Explicit Prediction Matter in Deep Reinforcement Learning-Based Energy Management? by Qin, Zhaoming, Zhang, Huaying, Zhao, Yuzhou, Xie, Hong, Cao, Junwei

“…As a model-free optimization and decision-making method, deep reinforcement learning (DRL) has been widely applied to the filed of energy management in energy…”
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Optimal Electricity Trading Strategy for a Household Microgrid by Qin, Zhaoming, Hua, Haochen, Liang, Hong, Herzallah, Randa, Zhou, Yuyang, Cao, Junwei

“…The recent integration of distributed generators (DGs) and renewable energy sources (RESs) into the power system led to the manifestation of a significant…”
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Stochastic Distributed Control for Frequency Regulation in Energy Internet: An ADMM Approach by Zhang, Genzhou, Qin, Yuchao, Li, Yang, Hua, Haochen, Qin, Zhaoming, Cao, Junwei

“…Facing the new changes of energy supply and demand pattern and the trend of international energy development, it is urgent to build a clean, low-carbon, safe…”
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