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• W1977682580 abstract "Wind speed prediction is important to cope with problem that large scale wind power is integrated into grid. A kind of combination forecasting model composed of time series and BP neural network prediction model for short-term wind speed forecasting is proposed. Then, the main causes of speed prediction error is analyzed in this paper. A wind speed forecasting bias correction method on Empirical Orthogonal Function (EOF) is proposed. Wind speed prediction error can be decomposed by EOF, by which the main components of error are got. Then, bias correction mode can be built by regression analysis. Then, syntheses correcting forecasting model is proposed, which consists of combination forecasting model and prediction bias correcting model. The model can be more accurately used in the short-time wind speed forecasting." @default.
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• W1977682580 date "2013-07-01" @default.
• W1977682580 modified "2023-09-26" @default.
• W1977682580 title "Short-term wind speed syntheses correcting forecasting model and its application" @default.
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• W1977682580 doi "https://doi.org/10.1016/j.ijepes.2013.01.014" @default.
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