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A multi-stage stochastic dispatching method for electricity‑hydrogen integrated energy systems driven by model and data Journal article
Yang, Zhixue, Ren, Zhouyang, Li, Hui, Sun, Zhiyuan, Feng, Jianbing, Xia, Weiyi. A multi-stage stochastic dispatching method for electricity‑hydrogen integrated energy systems driven by model and data[J]. Applied Energy, 2024, 371, 123668.
Authors:  Yang, Zhixue;  Ren, Zhouyang;  Li, Hui;  Sun, Zhiyuan;  Feng, Jianbing; et al.
Favorite | TC[WOS]:4 TC[Scopus]:9  IF:10.1/10.4 | Submit date:2024/07/04
Chance-constrained  Electricity‑hydrogen Integrated Energy Systems  Hydrogen Energy  Multi-agent Deep Reinforcement Learning  Uncertainty  
Occupant centric energy renovation strategy for hospital and restaurant building envelop using distinct modellingtools: A case study from low-income cultural context Journal article
Nyme Uddin, Mohammad, Jahan Ruva, Israt, Abu Syed, Md, Hossain, Didar, Akter, Raju, Tamanna, Nesat, Rahman, Atikur, Saka, Abdullahi. Occupant centric energy renovation strategy for hospital and restaurant building envelop using distinct modellingtools: A case study from low-income cultural context[J]. ENERGY AND BUILDINGS, 2022, 272, 112338.
Authors:  Nyme Uddin, Mohammad;  Jahan Ruva, Israt;  Abu Syed, Md;  Hossain, Didar;  Akter, Raju; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:6.6/6.7 | Submit date:2022/11/07
Agent-based Modelling  Building Information Modelling  Building Performance Simulation, Envelop Materials  Co2 Mitigation  Energy Consumption  Occupant  
Fully Distributed Optimization for Combined Heat and Power Dispatch Conference paper
Peng Yu, Can Wan, Yonghua Song. Fully Distributed Optimization for Combined Heat and Power Dispatch[C], 2022.
Authors:  Peng Yu;  Can Wan;  Yonghua Song
Favorite | TC[Scopus]:0 | Submit date:2023/01/30
Distributed Optimization  Combined Heat And Power Dispatch  Admm  Energy Agent  
Collaborative Intelligent Reflecting Surface Networks With Multi-Agent Reinforcement Learning Journal article
Zhang, Jie, Li, Jun, Zhang, Yijin, Wu, Qingqing, Wu, Xiongwei, Shu, Feng, Jin, Shi, Chen, Wen. Collaborative Intelligent Reflecting Surface Networks With Multi-Agent Reinforcement Learning[J]. IEEE Journal on Selected Topics in Signal Processing, 2022, 16(3), 532-545.
Authors:  Zhang, Jie;  Li, Jun;  Zhang, Yijin;  Wu, Qingqing;  Wu, Xiongwei; et al.
Favorite | TC[WOS]:18 TC[Scopus]:21  IF:8.7/8.4 | Submit date:2022/08/05
Beamforming  Energy Harvesting  Intelligent Reflecting Surface  Multi-agent Reinforcement Learning  
Multi-agent Reinforcement Learning for Green Energy Powered IoT Networks with Random Access Conference paper
Mengqi Han, Luis Arocas Del Castillo, Sami Khairy, Xuehan Chen, Lin X. Cai, Bin Lin, Fen Hou. Multi-agent Reinforcement Learning for Green Energy Powered IoT Networks with Random Access[C]:IEEE, 2020, 9348737.
Authors:  Mengqi Han;  Luis Arocas Del Castillo;  Sami Khairy;  Xuehan Chen;  Lin X. Cai; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2 | Submit date:2021/03/11
Adaptive Random Access  And Energy Harvesting  Iot Network  Multi-agent Reinforcement Learning  
Part II: Phase transformation-induced bloating behavior in diopside glass-ceramics for microwave dielectrics Conference paper
Chou, Chen Chia, Feng, Kuei Chih, Raevski, Igor P., Chu, Li Wen, Chen, Haydn, Chen, Pin-Yi, Chen, Cheng-Sao, Lee, Hao Wei, Tu, Chi-Shun. Part II: Phase transformation-induced bloating behavior in diopside glass-ceramics for microwave dielectrics[C], THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND:PERGAMON-ELSEVIER SCIENCE LTD, 2017, 71-75.
Authors:  Chou, Chen Chia;  Feng, Kuei Chih;  Raevski, Igor P.;  Chu, Li Wen;  Chen, Haydn; et al.
Favorite | TC[WOS]:6 TC[Scopus]:4 | Submit date:2018/10/30
Diopside  Glass-ceramics  Nucleating Agent  Activation Energy  
Part II: Phase transformation-induced bloating behavior in diopside glass-ceramics for microwave dielectrics Journal article
Chou C.C., Feng K.C., Raevski I.P., Chu L.W., Chen H., Chen P.-Y., Chen C.-S., Lee H.W., Tu C.-S.. Part II: Phase transformation-induced bloating behavior in diopside glass-ceramics for microwave dielectrics[J]. MATERIALS RESEARCH BULLETIN, 2017, 96, 71-75.
Authors:  Chou C.C.;  Feng K.C.;  Raevski I.P.;  Chu L.W.;  Chen H.; et al.
Favorite | TC[WOS]:6 TC[Scopus]:4  IF:5.3/4.5 | Submit date:2019/04/08
Activation Energy  Diopside  Glass-ceramics  Nucleating Agent  
The design of multi-agent based distributed energy system Conference paper
Lu M., Chen C.L.P.. The design of multi-agent based distributed energy system[C], 2009, 2001-2006.
Authors:  Lu M.;  Chen C.L.P.
Favorite | TC[WOS]:12 TC[Scopus]:9 | Submit date:2019/02/11
Distributed Energy System  Machine Learning  Multi-agent System  Reliability Assessment  Renewable Energy