
Modelling of turbine power and local wind conditions in wind farm using an autoencoder neural network
Author(s) -
Suguang Dou,
Nikolay Dimitrov
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2265/3/032069
Subject(s) - autoencoder , turbine , wind power , artificial neural network , wake , computer science , wind speed , robustness (evolution) , artificial intelligence , engineering , meteorology , aerospace engineering , biochemistry , chemistry , physics , electrical engineering , gene