Application of bias corrections to improve hub-height ensemble wind forecasts over the Tehachapi Wind Resource Area

Renewable Energy(2019)

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摘要
This study demonstrates improvements in ensemble wind forecasts at hub height due to bias correction strategies and their impact on wind energy forecasts at the Alta II wind farm in southern California. The ensemble consists of twenty members that differ in physics schemes used. Ensemble wind forecasts are produced for three months. Hub-height sodar wind observations are used to evaluate forecast performance. Time-dependent bias correction (TBC) and probability bias correction (PBC) are proposed to calibrate hub-height ensemble wind forecasts.
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关键词
Wind energy,Wind forecast,Probability forecast,Model bias and bias correction
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