Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Cai, Yingkai"'
Autor:
Wang, Zhaokui, Zhang, Yulin, Wen, Guangwei, Bai, Shunchenqiao, Cai, Yingkai, Huang, Pu, Han, Dapeng, He, Yunhan
Atmospheric drag calculation error greatly reduce the low-earth orbit spacecraft trajectory prediction fidelity. To solve the issue, the "correction - prediction" strategy is usually employed. In the method, one parameter is fixed and other parameter
Externí odkaz:
http://arxiv.org/abs/2112.03113
Publikováno v:
In Advances in Space Research 1 December 2024 74(11):5819-5836
Publikováno v:
In Advances in Space Research 15 May 2024 73(10):5171-5187
Publikováno v:
International Journal of Aerospace Engineering. 3/27/2024, Vol. 2024, p1-13. 13p.
Publikováno v:
Space: Science & Technology, Vol 3 (2023)
Collision probability is employed for evaluating whether there will be a dangerous encounter between 2 space objects. The fidelity of the collision probability mainly depends on the accuracies of orbit prediction and covariance prediction for the spa
Externí odkaz:
https://doaj.org/article/02bd9d993607466a91ccef162b27820d
Akademický článek
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Publikováno v:
2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA).
The rapid growth of distributed power in microgrid operation will have a greater impact on the security and economic operation of the grid. In this paper, the overall topology of the user-side microgrid and its mathematical modeling are studied. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6a387fd0f0a869475dc6546ec7583a4
https://doi.org/10.1109/icmtma.2019.00081
https://doi.org/10.1109/icmtma.2019.00081
Publikováno v:
E3S Web of Conferences, Vol 204, p 02003 (2020)
A large amount of data information will be generated during the construction and operation of the power system, and once these data are leaked, it will undoubtedly threaten the information security of power users, which will bring avoidable economic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14560cda6e2b9901a9f544f0228ae700
https://doi.org/10.1051/e3sconf/202020402003
https://doi.org/10.1051/e3sconf/202020402003
Autor:
Zhang Ye, Ye Ning, Gao Xiying, Hui Qian, Zhang Wenshu, Wang Haomiao, Guan Yan, Li Dan, Song Xiaowen, Cai Yingkai, Jinchun Song
Publikováno v:
2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2).
In this paper, we propose a method for performing electricity price execution inspection by using a variational autoencoder technology in deep learning. The variational auto encoder based anomaly detection algorithm(VABAD) can be used both as a discr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::857bb89adce9ae3e1650aa13ce625886
https://doi.org/10.1109/ei2.2018.8582186
https://doi.org/10.1109/ei2.2018.8582186