Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xianjing Zhong"'
Publikováno v:
Energies, Vol 17, Iss 21, p 5497 (2024)
The advancement of hydrogen technology and rising environmental concerns have shifted research toward renewable energy for green hydrogen production. This study introduces a novel tri-level transaction methodology for microgrid clusters, addressing u
Externí odkaz:
https://doaj.org/article/53067f7e2fd8498f88986f36dfd9774f
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Endeavoring to enhance the penetration rate of renewable energy sources, concurrently ensuring economic and operational stability, this study proposes a novel bi-layer optimization method of the wind–solar-storage AC/DC microgrid (MG). First, by in
Externí odkaz:
https://doaj.org/article/bf98bdcf83c3442e9eae9ccf960aeeb9
Publikováno v:
Applied System Innovation, Vol 7, Iss 3, p 40 (2024)
Due to the prevalent challenges of inadequate accuracy, unstandardized parameters, and suboptimal efficiency with regard to icing prediction, this study introduces an innovative online method for icing prediction based on Robust STL–BTSF and IBWO
Externí odkaz:
https://doaj.org/article/ea036573fc7f473b948ca7cc8c910515
Publikováno v:
IEEE Access, Vol 10, Pp 17268-17286 (2022)
The method of Support Vector Machine (SVM) based on Dissolved Gas Analysis (DGA) has been studied in the field of power transformer fault diagnosis. However, there are still some shortcomings, such as the fuzzy boundaries of DGA data, and SVM paramet
Externí odkaz:
https://doaj.org/article/fff2c64aa065410394071e0f225e901a
Publikováno v:
Energies, Vol 15, Iss 20, p 7593 (2022)
In general, microgrids have a high renewable energy abandonment rate and high grid construction and operation costs. To improve the microgrid renewable energy utilization rate, the economic advantages, and environmental safety of power grid operation
Externí odkaz:
https://doaj.org/article/5dccb3db8d844c708a65cb23ce935779
Publikováno v:
Computers, Materials & Continua; 2023, Vol. 76 Issue 2, p1599-1619, 21p
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::454f9b0e1160db592401a3f958bc4042
https://doi.org/10.2139/ssrn.4239309
https://doi.org/10.2139/ssrn.4239309
A Transformer Fault Diagnosis Based on Improved Squirrel Search Algorithm and Support Vector Machine
Publikováno v:
Journal of Physics: Conference Series. 2203:012067
An improved Squirrel Search Algorithm (ISSA) is proposed to overcome the shortcoming of Support Vector Machine (SVM) parameters is difficult to select. Firstly, an adaptive probability formula is used to balance the exploration and foraging ability o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f495f50bbbf197a8e4932aaa798e465d
https://doi.org/10.1088/1742-6596/2203/1/012067
https://doi.org/10.1088/1742-6596/2203/1/012067