Open AccessTurbine-level clustering for improved short-term wind power forecasting
Author(s) -
Juan Manuel González Sopeña,
C Maury,
Vikram Pakrashi,
Bidisha Ghosh
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2265/2/022052
Subject(s) - wind power , turbine , scada , cluster analysis , wind power forecasting , term (time) , wind speed , dbscan , computer science , meteorology , reliability engineering , environmental science , power (physics) , engineering , electric power system , artificial intelligence , geography , fuzzy clustering , mechanical engineering , physics , canopy clustering algorithm , quantum mechanics , electrical engineering