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Zhaohui Luo

jiangsu university

H指数:12

被引数:470

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From yaw to 3D wake steering: A cooperative multi-agent reinforcement learning approach for wind farm power–aerodynamic-load-proxy trade-offs

从偏航到三维尾流偏转：一种用于风电场功率-空气动力载荷代理权衡的协同多智能体强化学习方法

Renewable Energy

IF9.1

2026-10-080

PRE

Enhancing wind farm power output via DRL-based collaborative pitch control of tandem turbines

IF9.4

2026-01-170

PRE

From sparse sensing to physics-consistent reconstruction of unsteady wind turbine wakes towards control-oriented modeling

从稀疏传感到物理一致性重建非稳态风力涡轮机尾流，面向控制导向建模

Energy Conversion and Management

IF10.9

2025-12-110

PRE

Experimental wind tunnel study on the effect of cyclic yaw rate on wind turbine performance

关于循环偏航速率对风力涡轮机性能影响的实验风洞研究

Renewable Energy

IF9.1

2025-10-110

PRE

Innovative sparse data reconstruction approaches for yawed wind turbine wake flow via data-driven and physics-informed machine learning

基于数据驱动与物理信息机器学习的偏航风力涡轮机尾流流场稀疏数据重建创新方法

PHYSICS OF FLUIDS

IF4.3

2025-03-130

PRE

TurbineNet: Advancing tidal turbine blade hydrodynamic performance prediction with neural networks

PHYSICS OF FLUIDS

IF4.3

2025-02-100

PRE

Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-based machine learning approach

RENEWABLE ENERGY

IF9.1

2024-12-010

PRE

Effectiveness of cooperative yaw control based on reinforcement learning for in-line multiple wind turbines

基于强化学习的在线多风电机组协同偏航控制有效性

CONTROL ENGINEERING PRACTICE

IF4.6

2024-12-010

PRE

A novel generative approach to the parametric design and multi-objective optimization of horizontal axis tidal turbines

PHYSICS OF FLUIDS

IF4.3

2024-11-050

PRE

Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades

IF9.4

2024-06-011

PRE

A reduced order modeling-based machine learning approach for wind turbine wake flow estimation from sparse sensor measurements

IF9.4

2024-05-012

PRE

DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade

RENEWABLE ENERGY

IF9.1

2024-04-013

PRE

A novel generative-predictive data-driven approach for multi-objective optimization of horizontal axis tidal turbine

PHYSICS OF FLUIDS

IF4.3

2024-04-011

OA

Dynamic wake field reconstruction of wind turbine through Physics-Informed Neural Network and Sparse LiDAR data

IF9.4

2024-03-014

PRE

A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turbine blades

IF9.4

2023-11-0111

PRE

Reconstruction of missing flow field from imperfect turbulent flows by machine learning

PHYSICS OF FLUIDS

IF4.3

2023-08-0714

PRE

Flow reconstruction from sparse sensors based on reduced-order autoencoder state estimation

PHYSICS OF FLUIDS

IF4.3

2023-07-1218

PRE

A novel cost-efficient deep learning framework for static fluid-structure interaction analysis of hydrofoil in tidal turbine morphing blade

RENEWABLE ENERGY

IF9.1

2023-05-0110

PRE

A deep learning-based optimization framework of two-dimensional hydrofoils for tidal turbine rotor design

IF9.4

2022-08-0126

PRE

Comparative study of decentralized instantaneous and wind-interval-based controls for in-line two scale wind turbines

RENEWABLE ENERGY

IF9.1

2022-04-014

PRE