Open AccessShort-Term Local Prediction of Wind Power Based on Singular Spectrum Analysis and Self-Organizing Maps
Author(s) -
Tianyao Ji,
L. Liu,
D. Y. Hong,
M. S. Li,
Qinghua Wu
Publication year - 2018
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/366/1/012015
Subject(s) - singular spectrum analysis , wind power forecasting , wind power , volatility (finance) , time series , term (time) , series (stratigraphy) , electric power system , computer science , self organizing map , wind speed , support vector machine , meteorology , data mining , power (physics) , econometrics , mathematics , artificial intelligence , cluster analysis , machine learning , engineering , geography , singular value decomposition , physics , quantum mechanics , paleontology , electrical engineering , biology