In the paper, a novel framework that employs the machine learning and CFD (computational
fluid dynamics) simulation to develop new wake velocity and turbulence models with high …

In the wind industry, power prediction of wind farm is commonly implemented by analytical
wake models, which is low-cost but insufficient in accuracy for high-turbulent wake …

An appropriate cooperative yaw control strategy, in which the accurate power prediction and
efficient optimization method play an essential role, can mitigate the significant power loss …

This paper presents a data-driven wind farm layout optimization framework that uses a
machine learning wake model that considers physical control stages. The machine learning …

In recent years, wind farm optimization has received much attention in the literature. The aim
of wind farm design is to maximize energy production while minimizing costs. The wind farm …

In the past, offshore wind farms commonly had a large wind turbine distance to avoid power
loss induced by the wake effects. For this reason, the operational offshore wind farms with …

In the real-time cooperative control of large-scale wind farms, the simultaneous achievement
of accuracy and efficiency by the optimization framework plays an indispensable role. This …

Offshore wind farm modelling has been an area of rapidly increasing interest over the last
two decades, with numerous analytical as well as computational-based approaches …

In the wind turbine wake control research, the analytical wake model does not consider the
influence of direct control parameters on the wind turbine wake flow field, and its prediction …

This paper presents improvements to the eddy viscosity wake model to significantly improve
its fidelity without compromising its low computational cost. The eddy viscosity wind turbine …