Results 51 to 60 of about 24,854,148 (363)

Control strategies for a wave energy converter connected to a hydraulic power take-off

, 2011
Among the various types of wave energy converters currently being developed, heaving point absorbers are one of the simplest and most promising concepts.
F. Salcedo, Villate, J. L., M. Santos, P. Ruiz-Minguela, Lopez, J., Santos, M., Falcão, A. F.D.O., A.F.deO. Falcão, Ruiz-Minguela, P., Salcedo, F., J. Lopez, P. Ricci, J.L. Villate, Ricci, P.   +13 more
core   +1 more source

Improving Transient Stability of Power Synchronization Control for Weak Grid Applications [PDF]

, 2020
Power synchronization control (PSC) has a promising potential to be used in interface converters of large-scale renewable generations operating under weak-grid condition.
Mojgan Hojabri, Sepehr, Amir, Pouresmaeil, Edris, Amir Sepehr, Mobina Pouresmaeil, Blaabjerg, Frede, Edris Pouresmaeil, Hojabri, Mojgan, Blaabjerg, Frede; id_orcid, Pouresmaeil, Mobina, Frede Blaabjerg   +10 more
core   +1 more source

Claudin‐6 Protein Expression in Atypical Teratoid/Rhabdoid Tumors Is Strongly Enriched in the Molecular Subgroup AT/RT‐TYR

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke, Christian Thomas, Michael C. Frühwald, Pascal D. Johann, Martin Hasselblatt   +4 more
wiley   +1 more source

Research on anti-error operation warning of power grid dispatching based on deep bidirectional gated recurrent neural network

EAI Endorsed Transactions on Energy Web
To improve the security and overall efficiency of grid scheduling work and accurately optimize scheduling decisions, a grid scheduling error-proof operation warning method based on a deep bidirectional gated recurrent neural network is proposed.
Jinglong He , Dunlin Zhu, Sheng Yang, Jinming Liu, Tianyun Luo, Yuan Fu   +5 more
doaj   +1 more source

Demand and Forecast Analysis of Power New Energy under the Background of Carbon Peak Reachin [PDF]

E3S Web of Conferences
Electric power resources is directly related to the national development and social people’s livelihood of the energy industry, is to support the future economic transformation and improve the residents living standards of rigid demand, however, the ...
Chen Zhongfei, Zhao Yue, Cai Qiuna, Yu Peng, Zhang Qiaoyu, Zhong Xinrui   +5 more
doaj   +1 more source

Power Load Forecasting Method Based on MT-BSGP

Journal of Harbin University of Science and Technology, 2021
In order to forecast short-term household power load，a power load forecasting method based on multi-task Bayesian spatiotemporal Gaussian process ( MT-BSGP) is proposed.
LI Zhi-yong, SU Yin-sheng, LI Bin, LIU Chun-xiao, LI Bao, TAN Shou-biao   +5 more
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

A Visualization Verification Method for Startup Risk of Substation Equipment Based on Multidimensional Graph Models

Engineering Reports
This article presents a visualization verification method for substation equipment startup risk based on a multidimensional graph model, aiming to enhance the safety and reliability of the equipment startup process.
Lifan Mao, Huang Chen, Yongqi He, Chuanpu Zhu, Chao Chen   +4 more
doaj   +1 more source

Research on short-term power load forecasting based on deep reinforcement learning with multiple intelligences

EAI Endorsed Transactions on Energy Web
A reliable supply of power systems is critical for industry, commerce, and residential life. Improving the accuracy and reliability of short-term electricity load forecasting plays a crucial role in ensuring the satisfaction of electricity demand and ...
Tianyun Luo, Dunlin Zhu, Jinming Liu, Sheng Yang, Jinglong He, Yuan Fu   +5 more
doaj   +1 more source

Dynamic Model of Fast Steering Mirror based on Piezoelectric Actuator [PDF]

한국정밀공학회지
The fast steering mirror is now being used in industries beyond precision processing, such as space and defense. The piezoelectric fast steering mirror (PFSM), which utilizes a piezoelectric actuator, is particularly suitable for these industries as they
Yongsu Park, Geemin Lee, Dae Gyu Choi
doaj   +1 more source