Abstract
Wind speed and the related electrical power of wind turbines are
forecasted. The work is focused on the operation of power systems
with integrated wind parks. Artificial neural networks models are
proposed for forecasting average values of the following 10 min or
1 h. Input quantities for the prediction are wind speeds and their
derivatives. Also, spatial correlation of wind speeds and its use
for forecasting, are investigated. The methods are tested using data
collected over seven years at six different sites on islands of the
South and Central Aegean Sea in Greece.
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