Institution
China Three Gorges University
Education•Yichang, China•
About: China Three Gorges University is a education organization based out in Yichang, China. It is known for research contribution in the topics: Catalysis & Landslide. The organization has 11161 authors who have published 8011 publications receiving 82224 citations. The organization is also known as: Sanxia Daxue.
Papers published on a yearly basis
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TL;DR: Li 3 VO 4 nanoparticles with mean size about 100nm are uniformly deposited on the surface of natural graphite via a quasi sol gel method as mentioned in this paper, which shows excellent cycle stability and rate capability.
66 citations
TL;DR: In this article, a Hermite-Hadamard type identity and several new Hermite Hadamard Type inequalities for conformable fractional integrals were established and applied to special bivariate means.
Abstract: We establish a Hermite-Hadamard type identity and several new Hermite-Hadamard type inequalities for conformable fractional integrals and present their applications to special bivariate means.
66 citations
TL;DR: In this paper, a one-pot hydrothermal method using thiourea as the sulfur source and reducing agent was used to synthesize a CuS/graphene composite for anode materials for lithium ion batteries.
66 citations
TL;DR: In this paper, ultrathin graphitic carbon nitride (g-C3N4) nanoplates with thickness of 1-3nm were introduced for the efficient hydrogen peroxide (H2O2) production.
65 citations
TL;DR: A multi-agent distributed control strategy is proposed for AGC in this article, which is mainly based on the concept of deep reinforcement learning, and developed by the strategy of action discovery.
Abstract: The widely adoption of distributed renewable energy sources (DREs) effectively reduces carbon emission and beat atmospheric haze in developing countries. However, random disturbance issues emerge in power grids with DREs when applying traditional centralized automatic generation control (AGC) strategies. Therefore, a multi-agent distributed control strategy is proposed for AGC in this article, which is mainly based on the concept of deep reinforcement learning, and developed by the strategy of action discovery. Moreover, area control error and the amount of carbon emission are employed in reward functions to obtain optimal solutions in the implementing process of the proposed strategy. Simulations are provided in the work to show the effectiveness of the strategy, while comparisons are also offered, where the simulating results obtained by two other intelligent AGC algorithms are used as references, according to which, the superiority of the proposed strategy is confirmed.
65 citations
Authors
Showing all 11222 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Shu Li | 136 | 1001 | 78390 |
| Yu Huang | 136 | 1492 | 89209 |
| Jian Zhang | 107 | 3064 | 69715 |
| Tao Li | 102 | 2483 | 60947 |
| Jian Chen | 96 | 1718 | 52917 |
| Jing Zhang | 95 | 1271 | 42163 |
| Qichun Zhang | 94 | 540 | 28367 |
| Bin Li | 92 | 1755 | 42835 |
| Xianhui Bu | 87 | 290 | 20927 |
| Dawei Wang | 85 | 934 | 41226 |
| Guangshan Zhu | 77 | 369 | 21281 |
| Fei Xu | 71 | 743 | 24009 |
| Jian Zhang | 70 | 317 | 14802 |
| Ying Wu | 70 | 489 | 22952 |
| Chao Zhang | 69 | 331 | 23555 |