Zobrazeno 1 - 10
of 1 158
pro vyhledávání: '"LSTM neural network"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 2954-2968 (2024)
Aiming at the problems of slow searching speed, low accuracy and easy to fall into local optimization in the optimization process of pelican optimization algorithm (POA), a pelican optimization algorithm combining unscented sigma point mutation and c
Externí odkaz:
https://doaj.org/article/51ad2e682779486885596fa954e8cf10
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 5, Pp 730-738 (2024)
The problem of differential protection maloperation caused by inrush current during no-load closing of transformer has not been completely solved so far. To solve this problem, a method using long short-term memory (LSTM) neural network to identify i
Externí odkaz:
https://doaj.org/article/f65d6fd48f3444fdb574fed7f58dd1ba
Publikováno v:
发电技术, Vol 45, Iss 2, Pp 323-330 (2024)
Ultra-short-term wind speed prediction is the key to ensure the implementation effect of wind turbine pitch angle feedforward control, and has an important impact on improving the environmental adaptability of wind turbines. In order to improve the p
Externí odkaz:
https://doaj.org/article/28969acb0d564c498ac73b771103890f
Publikováno v:
Guangtongxin yanjiu, Pp 22005801-22005808 (2024)
【Objective】Power Line Carrier(PLC)communication adopts the frame burst transmission mode. Due to the carrier frequency offset between transceivers, various noise and time-varying characteristics of PLC channel and the system has no dedicated refe
Externí odkaz:
https://doaj.org/article/8080e5f1768d477fada1784e7b543079
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 61, Iss , Pp 101889- (2025)
Precisely forecasting output of solar photovoltaics is crucial for (i) effective solar power management, (ii) integration into the electrical grid, (iii) flexible allocation of power resources. While deep learning algorithms have shown promise in ene
Externí odkaz:
https://doaj.org/article/5a3a326fa0b14ba7ba6631028faff53b
Autor:
Zhengliang Xia, Bradley M. Cornish, Daniel Devaprakash, Rod S. Barrett, David G. Lloyd, Andrea H. Hams, Claudio Pizzolato
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2070-2077 (2024)
Remodeling of the Achilles tendon (AT) is partly driven by its mechanical environment. AT force can be estimated with neuromusculoskeletal (NMSK) modeling; however, the complex experimental setup required to perform the analyses confines use to the l
Externí odkaz:
https://doaj.org/article/9edc1da667074172bc04a672301c985d
Publikováno v:
南方能源建设, Vol 11, Iss 1, Pp 112-121 (2024)
[Introduction] The volatility and intermittency of wind energy pose significant challenges for large-scale wind power integration. An effective approach to address this issue is to provide accurate wind power forecasting. [Method] In response to this
Externí odkaz:
https://doaj.org/article/f5e54fa95dd740aba55736bd136004c5
Publikováno v:
Energies, Vol 17, Iss 22, p 5528 (2024)
To address the issue of uncertainty in the occurrence time of voltage sags in power grids, which affects power quality, a voltage state prediction method based on LSTM neural networks is proposed for predicting voltage states. For the problem of quic
Externí odkaz:
https://doaj.org/article/2ac4e56ebb154e80a47aea849393ce06
Publikováno v:
Facilities, 2023, Vol. 41, Issue 15/16, pp. 38-51.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/F-07-2022-0093
Autor:
Sheng Huang
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200368- (2024)
With the rapid popularization and application of Internet of Things technology, smart devices have become an indispensable part of people's daily lives. Therefore, it is crucial to accurately identify these devices as their numbers continue to grow.
Externí odkaz:
https://doaj.org/article/5f4fe8497f66444a8322350d4ad233c7