In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Each year a panel reviews papers nominated from the past two years and selects an article of high significance. The paper, published in 2022, describes the first experimental implementation of Model ...
Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...
Wind Engineering, Vol. 44, No. 5 (October 2020), pp. 483-493 (11 pages) Wind farm control has demonstrated power production improvements using yaw-based wake steering compared to individual turbine ...
This article deals with the study of the particle swarm optimization algorithm and its variants. After modeling the global system, a comparative study is carried out about the algorithms described in ...
Researchers describe a real-time method for potentially helping turbine farms realize additional power from the clustering of their turbines. Their method requires no new sensors to identify which ...
Nikhar Abbas (PhDMechEngr’22) is taking his research on wind turbine control systems to the international stage. Abbas received the 2023 European Academy of Wind Energy (EAWE) Excellent Young Wind ...
With over 350,000 wind turbines currently in use globally, wind continues to be one of the fastest growing forms of renewable energy. In 2021, 93.6 GW of new installations brought global cumulative ...
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