Paper Publications

• [16] 王龙滟.Intelligent fault diagnosis for wind turbine main bearings through multi-source signal fusion and lightweight model design with knowledge distillation.INSIGHT
• [17] 王龙滟.TurbineNet: Advancing tidal turbine blade hydrodynamic performance prediction with neural networks.PHYSICS OF FLUIDS
• [18] 王龙滟.Transfer learning-enhanced fault diagnosis for wind turbine main bearings under diverse wind farm conditions.INSIGHT
• [19] 王龙滟.TurbineNet/FEM: Revolutionizing fluid-structure interaction analysis for efficient harvesting of tidal energy.Energy Conversion and Management
• [20] 王龙滟.Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-based machine learning approach.Renewable Energy
• [21] 王龙滟.A deep learning framework for reconstructing experimental missing flow field of hydrofoil.Ocean Engineering
• [22] 王龙滟.Effectiveness of cooperative yaw control based on reinforcement learning for in-line multiple wind turbines.Control Engineering Practice
• [23] 王龙滟.A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turbine blades.Energy
• [24] 王龙滟.A novel cost-efficient deep learning framework for static fluid–structure interaction analysis of hydrofoil in tidal turbine morphing blade.Renewable Energy
• [25] 王龙滟.Flow reconstruction from sparse sensors based on reduced-order autoencoder state estimation.Physics of Fluids
• [26] 王龙滟.Study of cooperative wake control for multiple wind turbines under variable wind speeds/directions.Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
• [27] 王龙滟.Reconstruction of missing flow field from imperfect turbulent flows by machine learning.Physics of Fluids
• [28] 王龙滟.Performance analysis of geometrically optimized PaT at turbine mode: A perspective of entropy production evaluation.PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
• [29] 王龙滟.Robust Wind Farm Layout Optimization Under Weibull Distribution by Monte Carlo Simulation.Lecture Notes in Mechanical Engineering
• [30] 王龙滟.A deep learning-based optimization framework of two-dimensional hydrofoils for tidal turbine rotor design.ENERGY