Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yuheng Sha"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 943-950 (2023)
In the context of the in-depth advancement of the power system reform and the increasingly stringent supervision of state-owned assets and state-owned enterprises, it is urgent to clarify the balance between investment demand and investment capacity
Externí odkaz:
https://doaj.org/article/82c5cb716af748b291b2c293fe72072d
Publikováno v:
IEEE Access, Vol 9, Pp 67176-67185 (2021)
In order to improve the investment accuracy of power grid projects, this paper takes distribution network investment as the research object, and proposes a distribution network precision investment method based on a three-level strategy of region, po
Externí odkaz:
https://doaj.org/article/1bf6780641b94991a51535d496aa9a1c
Autor:
Wenlong Li, Jing Zhang, Wenqi Li, Jun Yan, Yuheng Sha, Yuqian Zhang, Zhang Yanlai, Yannan Guo
Publikováno v:
E3S Web of Conferences, Vol 292, p 01016 (2021)
Project full-cycle evaluation is the process of evaluating the level of project implementation. The evaluation has a clear purpose orientation and involves the entire cycle of the project. This paper proposes a research method for the full-cycle eval
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb169b54c2efdad8fcd9ece7259c9617
https://doi.org/10.1051/e3sconf/202129201016
https://doi.org/10.1051/e3sconf/202129201016
Autor:
Yuqian Zhang, Wenlong Li, Jing Zhang, Zhang Yanlai, Jun Yan, Tiezheng Wang, Yuheng Sha, Wenqi Li, Zhu Ziwei, Yannan Guo
Publikováno v:
E3S Web of Conferences, Vol 257, p 02002 (2021)
In view of the increasing number of power grid reserve projects, how to reasonably evaluate power grid reserve projects and formulate power grid reserve project management mechanisms is of great significance for improving project management levels, o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcb698ff9d804461910140015a1f1b99
https://doi.org/10.1051/e3sconf/202125702002
https://doi.org/10.1051/e3sconf/202125702002
Publikováno v:
Automotive, Mechanical and Electrical Engineering ISBN: 9781315210445
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd25c02a33db4b879618c79e88c7295d
https://doi.org/10.1201/9781315210445-109
https://doi.org/10.1201/9781315210445-109
Publikováno v:
Prion, Vol 16, Iss 1, Pp 14-18 (2022)
Genetic Creutzfeldt–Jakob disease (gCJD) is a prion disease caused by mutations in the prion protein gene (PRNP). It has an autosomal dominant inheritance, so gCJD with homozygous mutations is extremely rare, and the influence of homozygous mutatio
Externí odkaz:
https://doaj.org/article/187e298172bb4a86b3f506207c1e3b91
Publikováno v:
JOURNAL OF INFRARED AND MILLIMETER WAVES. 28:66-71
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f50b951cc3f878c2496b1583557e0dc9
https://doi.org/10.3724/sp.j.1010.2009.00066
https://doi.org/10.3724/sp.j.1010.2009.00066
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540473312
SEAL
SEAL
The classical particle swarm optimization (PSO) has its own disadvantages, such as low convergence speed and prematurity. All of these make solutions have probability to convergence to local optimizations. In order to overcome the disadvantages of PS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f63a73b23f6332e1bb89d6847360333
https://doi.org/10.1007/11903697_20
https://doi.org/10.1007/11903697_20
Publikováno v:
AIP Advances, Vol 12, Iss 4, Pp 045209-045209-10 (2022)
A water droplet impacting on a supercooled surface normally experiencing spreading and freezing is a complex process involving fluid flow, heat transfer, and phase change. We established two models to, respectively, predict the spreading dynamics of
Externí odkaz:
https://doaj.org/article/0516c39a1e7c4e8c94557771bea895cd
Publikováno v:
GECCO
In order to overcome the low convergence speed and prematurity of classical genetic algorithm, an improved method named directional self-learning of genetic algorithm (DSLGA) is proposed in this paper. Through the self-learning operator directional i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::289a1ccf248428c0f185cd4c9161cc29
https://doi.org/10.1145/1068009.1068263
https://doi.org/10.1145/1068009.1068263