Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Xihuai Wang"'
Publikováno v:
Nanomaterials, Vol 14, Iss 17, p 1426 (2024)
With the rapid development of integrated circuits, glass substrates are frequently utilized for prototyping various functional electronic circuits due to their superior stability, transparency, and signal integrity. In this experiment, copper wire wa
Externí odkaz:
https://doaj.org/article/93f6c20936e24e5daccb3da2e3501207
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 18, Iss 2, Pp 251-259 (2023)
Objectives In order to analyze and solve the problem of the fault reconfiguration of shipboard power systems (SPSs), a fault reconstruction model with the optimization objectives of load loss and switching operation times is established, and an impro
Externí odkaz:
https://doaj.org/article/b37b0ce24eca4896a73424aad42f847e
Publikováno v:
IEEE Access, Vol 7, Pp 37238-37250 (2019)
As an effective feature selection technique, rough set theory plays an important part in machine learning. However, it is only applicable to labeled data. In reality, there are massive partially labeled data in machine learning tasks, such as webpage
Externí odkaz:
https://doaj.org/article/971106ed56684e948a376052986e55e8
Publikováno v:
IEEE Access, Vol 7, Pp 68271-68280 (2019)
This paper focuses on the load frequency control (LFC) for a multi-area interconnected microgrid power system with the introduction of communication networks, a robust sliding mode control strategy based on the adaptive event-triggered mechanism is p
Externí odkaz:
https://doaj.org/article/9cfc9472904747808b93a79f46375413
Publikováno v:
Energies, Vol 11, Iss 7, p 1686 (2018)
In this paper, the secondary load frequency controller of the power systems with renewable energies is investigated by taking into account internal parameter perturbations and stochastic disturbances induced by the integration of renewable energies,
Externí odkaz:
https://doaj.org/article/10b490ec64eb4823973d468189fbb23b
Publikováno v:
Energies, Vol 11, Iss 1, p 185 (2018)
In machine learning-based transient stability assessment (TSA) problems, the characteristics of the selected features have a significant impact on the performance of classifiers. Due to the high dimensionality of TSA problems, redundancies usually ex
Externí odkaz:
https://doaj.org/article/9a5db4e6b9e04470953c2c44960829cb
Publikováno v:
Proceedings of SPIE; May 2024, Vol. 13159 Issue: 1 p131599Y-131599Y-8, 1184400p
Publikováno v:
2022 2nd International Conference on Electrical Engineering and Control Science (IC2ECS).
Publikováno v:
2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST).
Publikováno v:
2022 2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI).