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王龙滟
学位:博士
性别:男
学历:博士研究生毕业
在职信息:在本单位任职
所在单位:流体机械工程技术研究中心
论文成果
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王龙滟. TurbineNet: Advancing tidal turbine blade hydrodynamic performance prediction with neural network.... PHYSICS OF FLUIDS
王龙滟. Transfer learning-enhanced fault diagnosis for wind turbine main bearings under diverse wind farm.... INSIGHT
王龙滟. TurbineNet/FEM: Revolutionizing fluid-structure interaction analysis for efficient harvesting of .... Energy Conversion and Management
王龙滟. Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-base.... Renewable Energy
王龙滟. A deep learning framework for reconstructing experimental missing flow field of hydrofoil. Ocean Engineering
王龙滟. Effectiveness of cooperative yaw control based on reinforcement learning for in-line multiple win.... Control Engineering Practice
王龙滟. A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turb.... Energy
王龙滟. A novel cost-efficient deep learning framework for static fluid–structure interaction analysis o.... Renewable Energy
王龙滟. Flow reconstruction from sparse sensors based on reduced-order autoencoder state estimation. Physics of Fluids
王龙滟. Study of cooperative wake control for multiple wind turbines under variable wind speeds/direction.... Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
王龙滟. Reconstruction of missing flow field from imperfect turbulent flows by machine learning. Physics of Fluids
王龙滟. Performance analysis of geometrically optimized PaT at turbine mode: A perspective of entropy pro.... PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
王龙滟. Robust Wind Farm Layout Optimization Under Weibull Distribution by Monte Carlo Simulation. Lecture Notes in Mechanical Engineering
王龙滟. A deep learning-based optimization framework of two-dimensional hydrofoils for tidal turbine roto.... ENERGY
王龙滟. Study of New Mini-Channel Trans-Critical CO2 Heat Pump Gas Cooler. MICROMACHINES
王龙滟. Effectiveness of data-driven wind turbine wake models developed by machine/deep learning with spa.... SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
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