Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Fangshuo Li"'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 7, Pp 1317-1324 (2024)
Abstract The coupling capacitance between the line and the transducer cannot be ignored when making non‐contact voltage measurements on low‐voltage three‐phase power lines. This leads to an increase in the number of unknown capacitances, and th
Externí odkaz:
https://doaj.org/article/a82b5a9518014d2098bcffa2c8072b07
Publikováno v:
IEEE Access, Vol 12, Pp 46462-46469 (2024)
With the development and application of power electronic devices in distribution stations, the power grid has frequent broadband oscillations, with characteristics such as a wide frequency range and multiple modal components, etc. However, the existi
Externí odkaz:
https://doaj.org/article/4b779e225e85430088ff5c2033bd871a
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1418-1423 (2022)
Appliance-level data is important for developing flexible two-way interactions between users and smart grids. Non-intrusive load monitoring (NILM) is a better way to obtain appliance power consumption information. Algorithms are used to decompose cus
Externí odkaz:
https://doaj.org/article/1e14b7fb8ad940a0adcde943935917ae
Publikováno v:
IEEE Access, Vol 10, Pp 39627-39637 (2022)
Appliance-level data is a prerequisite for establishing friendly two-way interactions between customers and the power company, and this data is now mainly obtained by non-intrusive load monitoring. However, as the number of loads increases, the numbe
Externí odkaz:
https://doaj.org/article/81f183d1031941d99b6e17eba01a86b0
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 17:1276-1285
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 29:1-15
Mobile social networks are dominating in our society’s daily life because of fast advancements of information technologies. To further exploit benefits from the ubiquitous service, studying the influence of information dissemination in this kind of
Autor:
Lina Liu, Fangshuo Li, Yifei Zhou, Zhijiong Cheng, Ming Qu, Li Yi, Shu Wang, Hailian Long, Yong Wu, Wei Wang
Publikováno v:
2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE).
Publikováno v:
2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST).
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 645:012076
The invention discloses a distribution network electrical topology identification method based on deep learning, and the method comprises the steps: S1, selecting a preset number of courts, taking a certain number of users in each court as a data col