| A deep learning-based optimization framework of two-dimensional hydrofoils for tidal turbine rotor design L Wang, J Xu, W Luo, Z Luo, J Xie, J Yuan, ACC Tan Energy 253, 124130, 2022 | 30 | 2022 |
| A novel framework for cost-effectively reconstructing the global flow field by super-resolution L Wang, Z Luo, J Xu, W Luo, J Yuan Physics of Fluids 33 (9), 2021 | 18 | 2021 |
| Flow reconstruction from sparse sensors based on reduced-order autoencoder state estimation Z Luo, L Wang, J Xu, M Chen, J Yuan, ACC Tan Physics of Fluids 35 (7), 2023 | 17 | 2023 |
| A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turbine blades J Xu, L Wang, J Yuan, J Shi, Z Wang, B Zhang, Z Luo, ACC Tan Energy 282, 128707, 2023 | 12 | 2023 |
| Reconstruction of missing flow field from imperfect turbulent flows by machine learning Z Luo, L Wang, J Xu, Z Wang, M Chen, J Yuan, ACC Tan Physics of Fluids 35 (8), 2023 | 12 | 2023 |
| A novel cost-efficient deep learning framework for static fluid–structure interaction analysis of hydrofoil in tidal turbine morphing blade L Wang, J Xu, Z Wang, B Zhang, Z Luo, J Yuan, ACC Tan Renewable Energy 208, 367-384, 2023 | 12 | 2023 |
| A deep learning framework for reconstructing experimental missing flow field of hydrofoil Z Luo, L Wang, J Xu, J Yuan, M Chen, Y Li, ACC Tan Ocean Engineering 293, 116605, 2024 | 7 | 2024 |
| Dynamic wake field reconstruction of wind turbine through Physics-Informed Neural Network and Sparse LiDAR data L Wang, M Chen, Z Luo, B Zhang, J Xu, Z Wang, ACC Tan Energy 291, 130401, 2024 | 6 | 2024 |
| Performance analysis of geometrically optimized PaT at turbine mode: A perspective of entropy production evaluation Z Wang, W Luo, B Zhang, S Ntiri Asomani, J Xu, Z Luo, L Wang Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2022 | 6 | 2022 |
| Super-resolution reconstruction framework of wind turbine wake: Design and application M Chen, L Wang, Z Luo, J Xu, B Zhang, Y Li, ACC Tan Ocean Engineering 288, 116099, 2023 | 5 | 2023 |
| A new three-dimensional wake model for the real wind farm layout optimization Z Luo, W Luo, J Xie, J Xu, L Wang Energy exploration & exploitation 40 (2), 701-723, 2022 | 5 | 2022 |
| DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade J Xu, L Wang, J Yuan, Z Luo, Z Wang, B Zhang, ACC Tan Renewable Energy 224, 120179, 2024 | 4 | 2024 |
| Comparative study of decentralized instantaneous and wind-interval-based controls for in-line two scale wind turbines L Wang, W Luo, J Xu, J Xie, Z Luo, ACC Tan Renewable Energy 189, 1218-1233, 2022 | 4 | 2022 |
| Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades J Xu, L Wang, Z Luo, Z Wang, B Zhang, J Yuan, ACC Tan Energy 296, 131216, 2024 | 2 | 2024 |
| A reduced order modeling-based machine learning approach for wind turbine wake flow estimation from sparse sensor measurements Z Luo, L Wang, J Xu, Z Wang, J Yuan, ACC Tan Energy 294, 130772, 2024 | 2 | 2024 |
| A novel generative–predictive data-driven approach for multi-objective optimization of horizontal axis tidal turbine T Xia, L Wang, J Xu, J Yuan, Z Luo, Z Wang Physics of Fluids 36 (4), 2024 | 1 | 2024 |
| Effectiveness of wake control optimization for multiple in-line wind turbines by combinatorial machine learning wake model B Zhang, W Luo, Z Luo, J Xu, L Wang Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2024 | 1 | 2024 |
| Effectiveness of cooperative yaw control based on reinforcement learning for in-line multiple wind turbines L Wang, Q Dong, Y Fu, B Zhang, M Chen, J Xie, J Xu, Z Luo Control Engineering Practice 153, 106124, 2024 | | 2024 |
| Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-based machine learning approach Z Luo, L Wang, Y Fu, J Xu, J Yuan, AC Tan Renewable Energy 237, 121552, 2024 | | 2024 |
| TurbineNet/FEM: Revolutionizing fluid-structure interaction analysis for efficient harvesting of tidal energy J Xu, L Wang, J Yuan, Y Fu, Z Wang, B Zhang, Z Luo, ACC Tan, H Zhan Energy Conversion and Management 321, 119076, 2024 | | 2024 |
