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Yixuan Chen
Researcher at South China University of Technology
Publications - 14
Citations - 192
Yixuan Chen is an academic researcher from South China University of Technology. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 5, co-authored 10 publications receiving 69 citations.
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Journal ArticleDOI
Optimal sizing and placement of energy storage system in power grids: A state-of-the-art one-stop handbook
Bo Yang,Junting Wang,Yixuan Chen,Danyang Li,Chunyuan Zeng,Yijun Chen,Zhengxun Guo,Hongchun Shu,Xiaoshun Zhang,Tao Yu,Liming Sun +10 more
TL;DR: A critical one-stop handbook related to one hundred and four methods in six categories covering all kinds of networks and tailored applications for ESS selection, evaluation criteria, modelling and solution methods is provided.
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Equilibrium-inspired multiagent optimizer with extreme transfer learning for decentralized optimal carbon-energy combined-flow of large-scale power systems
TL;DR: A novel equilibrium-inspired multiagent optimizer (EMO) with extreme transfer learning for decentralized optimal carbon-energy combined-flow (OCECF) of large-scale power systems is proposed and thoroughly evaluated.
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Modelling, applications, and evaluations of optimal sizing and placement of distributed generations: A critical state-of-the-art survey
Bo Yang,Lei Yu,Yixuan Chen,Haoyin Ye,Ruining Shao,Hongchun Shu,Tao Yu,Xiaoshun Zhang,Liming Sun +8 more
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Energy cooperation between Myanmar and China under One Belt One Road: Current state, challenges and perspectives
Bo Yang,Thidar Swe,Yixuan Chen,Chunyuan Zeng,Hongchun Shu,Xin Li,Tao Yu,Xiaoshun Zhang,Liming Sun +8 more
TL;DR: Wang et al. as discussed by the authors provided a comprehensive analysis on China-Myanmar energy cooperation under One Belt One Road (OBOR) initiative, which has attracted global attentions since it was firstly announced by China.
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Many-Objective Optimal Power Dispatch Strategy Incorporating Temporal and Spatial Distribution Control of Multiple Air Pollutants
TL;DR: Case studies indicate that not only can the MaOOPD strategy reduce air pollution effectively, but also it can achieve a dynamic tradeoff among the objectives as weather conditions and background pollution vary, leading to an authentic economic environmental power dispatch.