Novel reward strategies related to the energy deviation from the rated power are defined. They are designed to improve the efficiency of the WT. Two new ca...
A model-free deep reinforcement learning (DRL) method is proposed in this article to maximize the total power generation…
From the simulation, the control method proposed in this paper can effectively improve the power generation efficiency u…
In this work, we present the first rein-forcement learning (RL) controller integrated directly with high-fidelity large-…
Wind farms'' power-generation efficiency is constrained by the high system complexity. A novel deep reinforcement learni…
Novel reward strategies related to the energy deviation from the rated power are defined. They are designed to improve t…
The invention discloses a reward and punishment mechanism for guiding a wind power plant to participate in source-networ…
This article presents a novel methodology to maximize wind farm power generation by integrating graph neural networks, s…
In deregulated environment, the wind power producers (WPPs) will face the challenge of how to increase their revenues un…
To maximize the power output of wind farms and address the wake effects and random wind speeds, this paper proposes a co…
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