Zobrazeno 1 - 10
of 184
pro vyhledávání: '"dynamic aggregation"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 31495-31531 (2024)
The prevalence of cardiovascular disease (CVD) is a major issue in world health. There is a compelling desire for precise and effective methods for making decisions to determine the most effective technique for treating CVD. Here, we focused on the u
Externí odkaz:
https://doaj.org/article/f08138abe5824e8a8413190e3e66056f
Publikováno v:
发电技术, Vol 45, Iss 1, Pp 162-169 (2024)
Virtual power plant (VPP) is a new type of operation mode. It can effectively aggregate a large number of demand side resources and formulate effective dynamic aggregate control strategies to achieve power complemen-tation in different time and space
Externí odkaz:
https://doaj.org/article/c71dddae6b8c4e1c9e65c41c5ef6b8cd
Autor:
Yu Shen, Hecheng Li
Publikováno v:
Electronic Research Archive, Vol 32, Iss 1, Pp 445-472 (2024)
The multi-point dynamic aggregation problem (MPDAP) that arises in practical applications is characterized by a group of robots that have to cooperate in executing a set of tasks distributed over multiple locations, in which the demand for each task
Externí odkaz:
https://doaj.org/article/e3591b91880241b38a8c30d214f36f3c
Publikováno v:
Energies, Vol 17, Iss 13, p 3270 (2024)
To address the issue of high auxiliary service costs caused by the grid connection of new energy generation, a dual layer optimization scheduling method for high penetration new energy power grids is proposed, taking into account the auxiliary servic
Externí odkaz:
https://doaj.org/article/77e7eff40cda464b93b060e09b78d678
Autor:
Yu Shen, Hecheng Li
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 13754-13776 (2023)
The multi-point dynamic aggregation problem (MPDAP) comes mainly from real-world applications, which is characterized by dynamic task assignation and routing optimization with limited resources. Due to the dynamic allocation of tasks, more than one o
Externí odkaz:
https://doaj.org/article/8f66da2ec53f4a7bbb692edc6d82cb6a
Autor:
Bin Li, JingJu Wang, XueFeng Bai, TianYue Tang, JianLi Zhao, Chuan Liu, ZhanSheng Hou, Izzeddin Banimenia, Rashid Ali
Publikováno v:
Energy Conversion and Economics, Vol 3, Iss 6, Pp 368-380 (2022)
Abstract As a new energy‐supply service solution to address massive, distributed energy access to the power system, a virtual power plant has higher transmission reliability and real‐time communication requirements. To achieve collaborative optim
Externí odkaz:
https://doaj.org/article/2a36cfe95d04413ea1563f18f61e06a5
Publikováno v:
网络与信息安全学报, Vol 8, Pp 56-65 (2022)
There are two problems with the privacy-preserving federal learning framework under an unreliable central server.① A fixed weight, typically the size of each participant’s dataset, is used when aggregating distributed learning models on the centr
Externí odkaz:
https://doaj.org/article/3fcff7065c68435ab6330676e01c25fe
Akademický článek
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Publikováno v:
Mathematics, Vol 11, Iss 22, p 4616 (2023)
Cardiovascular disease (CVD) is a leading global health concern. There is a critical need for accurate and reliable decision-making tools to select the optimal approach for diagnosing cardiovascular disease (CVD). In this study, we have addressed thi
Externí odkaz:
https://doaj.org/article/013e862ecbf041a29559dae25f4b9b83
Akademický článek
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