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A Combined Short-Term Forecast Model of Wind Power Based on Empirical Mode Decomposition and Augmented Dickey-Fuller Test
Author(s) -
Jin Wang,
Tianyao Ji,
Mengshi Li
Publication year - 2021
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 - 10.1088/1742-6596/2022/1/012017
Subject(s) - volatility (finance) , hilbert–huang transform , mode (computer interface) , wind power , wind power forecasting , series (stratigraphy) , time series , augmented dickey–fuller test , lag , term (time) , computer science , mathematics , power (physics) , algorithm , econometrics , electric power system , statistics , engineering , energy (signal processing) , unit root , paleontology , physics , quantum mechanics , electrical engineering , operating system , computer network , biology

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