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Timescale classification in wind forecasting: A review of the state‐of‐the‐art
Author(s) -
Roungkvist Jannik Schütz,
Enevoldsen Peter
Publication year - 2020
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.2657
Subject(s) - intermittency , wind power , wind power forecasting , meteorology , grid , environmental science , computer science , range (aeronautics) , wind speed , electric power system , power (physics) , aerospace engineering , engineering , geology , geography , physics , electrical engineering , geodesy , quantum mechanics , turbulence
Abstract The intermittency of the wind has been reported to present significant challenges to power and grid systems, which intensifies with increasing penetration levels. Accurate wind forecasting can mitigate these challenges and help in integrating more wind power into the grid. A range of studies have presented algorithms to forecast the wind in terms of wind speeds and wind power generation across different timescales. However, the classification of timescales varies significantly across the different studies (2010–2014). The timescale is important in specifying which methodology to use when, as well in uniting future research, data requirements, etc. This study proposes a generic statement on how to classify the timescales, and further presents different applications of these forecasts across the entire wind power value chain.