Reinforcement learning for wind-farm flow control: Current state and future actions

^*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Review › Research › peer-review

16 Citations (Scopus)

Abstract

Original language	English
Article number	100475
Journal	Theoretical and Applied Mechanics Letters
Volume	13
Issue	6
Number of pages	11
ISSN	2095-0349
DOIs	https://doi.org/10.1016/j.taml.2023.100475
Publication status	Published - Nov 2023

@article{934160e0b47a415d8865bd5d815cf651,

title = "Reinforcement learning for wind-farm flow control: Current state and future actions",

author = "Mahdi Abkar and Navid Zehtabiyan-Rezaie and Alexandros Iosifidis",

year = "2023",

month = nov,

doi = "10.1016/j.taml.2023.100475",

language = "English",

volume = "13",

journal = "Theoretical and Applied Mechanics Letters",

issn = "2095-0349",

publisher = "Elsevier B.V.",

number = "6",

}

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Review › Research › peer-review

TY - JOUR

T1 - Reinforcement learning for wind-farm flow control: Current state and future actions

AU - Abkar, Mahdi

AU - Zehtabiyan-Rezaie, Navid

AU - Iosifidis, Alexandros

PY - 2023/11

Y1 - 2023/11

U2 - 10.1016/j.taml.2023.100475

DO - 10.1016/j.taml.2023.100475

M3 - Review

SN - 2095-0349

VL - 13

JO - Theoretical and Applied Mechanics Letters

JF - Theoretical and Applied Mechanics Letters

IS - 6

M1 - 100475

ER -