Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Xiao LIAO"'
Publikováno v:
南方能源建设, Vol 11, Iss 1, Pp 143-156 (2024)
[Introduction] Accurate load forecasting underpins the operation optimization of the electricity systems and is an indispensable aspect of energy management within such systems. Given the low accuracy and high computational complexity inherent in tra
Externí odkaz:
https://doaj.org/article/d6188baa10b24126adbb1a3a30295bfc
Publikováno v:
Energies, Vol 17, Iss 17, p 4471 (2024)
Nowadays, the microgrid system is characterized by a diversification of power factors and a complex network structure. Existing studies on microgrid fault diagnosis and troubleshooting mostly focus on the fault detection and operation optimization of
Externí odkaz:
https://doaj.org/article/df7fc3ede82b47b0bd831dec1674a8c9
Publikováno v:
Algorithms, Vol 17, Iss 8, p 341 (2024)
The minimum error entropy (MEE) criterion finds extensive utility across diverse applications, particularly in contexts characterized by non-Gaussian noise. However, its computational demands are notable, and are primarily attributable to the double
Externí odkaz:
https://doaj.org/article/60e217507e35489f8b324ee1ad57885b
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:
Frontiers in Energy Research, Vol 11 (2024)
As power information systems play an increasingly critical role in modern society, higher requirements are placed on the performance and reliability of their network infrastructure. In order to cope with the growing data traffic and network attack th
Externí odkaz:
https://doaj.org/article/c37b506644714766ad41f0ac0ed82fbe
Publikováno v:
Frontiers in Energy Research, Vol 11 (2024)
Introduction: Improving the precision and real-time speed of electricity data prediction while safeguarding data privacy and security holds immense significance for all power system participants’ decision-making. To surmount the issues of exorbitan
Externí odkaz:
https://doaj.org/article/d62aa4563ad24ca296ff97fbdc70ac59
Publikováno v:
IEEE Access, Vol 10, Pp 5184-5192 (2022)
Dealing with the insufficient detection accuracy and speed of aircraft targets in remote sensing images under complex background, this paper proposes a new detection method, YOLOv5-Aircraft, based on the YOLOv5 network. The YOLOv5-Aircraft model is i
Externí odkaz:
https://doaj.org/article/2ea0c51b910c425f929cd847e88cabde
Publikováno v:
Frontiers in Energy Research, Vol 10 (2023)
The energy trading market that can support free bidding among electricity users is currently the key method in smart grid demand response. Reinforcement learning is used to formulate optimal strategies for them to obtain optimal strategies. Non-ethel
Externí odkaz:
https://doaj.org/article/44bda50b12fe4e4a8b425156291ff68c
Publikováno v:
Frontiers in Energy Research, Vol 10 (2023)
With the continuous progress of urbanization, determining the charging and discharging strategy for randomly parked electric vehicles to help the peak load shifting without affecting users’ travel is a key problem. This paper design a reinforcement
Externí odkaz:
https://doaj.org/article/dd9b7b3fe05c449fb694b7e13c9d9aa6
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
BackgroundIncreasing evidence indicated a clear association between COVID-19 pandemic and mental health. This study aimed to assess the dynamic change of mental burden during and after the COVID-19 outbreak and related predictive factors among Chines
Externí odkaz:
https://doaj.org/article/a0fc28c369374bb3a9ba2e14ebc6e3ba