Short term power forecasts for large offshore wind turbine arrays
2013
Methods are presented for precise prediction of windspeeds at a wind- farm using a combination of
numerical weather predictionmodels and on-site
wind speedmeasurements. Simple techniques are used to inves- tigate the properties of the data. More advanced techniques are tested for the predictive value in forecasting including techniques from autore- gressive models,
data assimilation, artificial neural networks and kernel dressing. The performance of the resulting forecasts are compared with the measured
wind speedsusing a range of forecast windows.
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