Wind power plays a vital role in the global effort towards net zero. A recent figure shows that
93GW new wind capacity was installed worldwide in 2020, leading to a 53% year-on-year …

Wind-farm flow control stands at the forefront of grand challenges in wind-energy science.
The central issue is that current algorithms are based on simplified models and, thus, fall …

This paper addresses the torque and pitch control problems of wind turbines. The main
contribution of this work is the development of an innovative reinforcement learning (RL) …

This study describes a deep reinforcement learning (DRL) based decentralized yaw
optimization method to maximize the power production of wind farms. Specifically, we apply …

Today's environmental concerns, particularly those related to global warming, have sparked
a drive for the usage of renewable energy sources. One of the most significant sources of …

As global energy crises and climate change intensify, offshore wind energy, as a renewable
energy source, is given more attention globally. The wind power generation system is …

Wind power efficiency is an essential factor affecting wind power development, and efficient
wind power control methods are the key to improving wind power efficiency. Previous wind …

Flow control is key to maximize energy efficiency in a wide range of applications. However,
traditional flow-control methods face significant challenges in addressing non-linear systems …

As wind turbines (WTs) become more prevalent, there is an increasing interest in actively
controlling their power output to participate in the frequency regulation for the power grid …

Wind power is becoming an increasingly vital source of renewable energy worldwide.
However, controlling power generation in wind farms faces significant challenges due to the …