Wind farm control has been a topic of research for more than two decades. It has been
identified as a core component of grand challenges in wind energy science to support …

Wind farm control design is a recently new area of research that has rapidly become a key
enabler for the development of large wind farm projects and their safe and efficient …

Wind farms' power-generation efficiency is constrained by the high system complexity. A
novel deep reinforcement learning (RL)-based wind farm control scheme is proposed to …

To further understand the spatiotemporal inhomogeneity characteristics of wake profile
caused by the inflow change of upstream wind turbine and reduce the influence of wake …

Wake models play an integral role in wind farm layout optimization and operations where
associated design and control decisions are only as good as the underlying wake model …

The dynamics of the turbulent atmospheric boundary layer play a fundamental role in wind
farm energy production, governing the velocity field that enters the farm as well as the …

In order to sustain the overall competitiveness of the wind power industry, unrelenting focus
is required on working toward the advancement of enabling technologies and research …

Strategies for wake loss mitigation through the use of dynamic closed-loop wake steering
are investigated using large eddy simulations of conventionally neutral atmospheric …

This brief proposes a novel data-driven control scheme to maximize the total power output of
wind farms subject to strong aerodynamic interactions among wind turbines. The proposed …

This article explores the deep neural learning (DNL) based predictive control approach for
offshore wind farm using high-fidelity large eddy simulations (LES) data. The DNL …