Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6694433 | Applied Energy | 2012 | 13 Pages |
Abstract
⺠NWP models are unable to provide reliable wind speed forecast in complex terrain. ⺠Kalman filtering techniques are widely used to improve the prediction of NWP models. ⺠Kalman filter is tuned to find the most suitable configuration to predict wind speed. ⺠The filter is applied to forecast wind speed and wind power at a wind farm site. ⺠Simulations, corrected by Kalman filtering, show very low errors wrt measurements.
Keywords
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Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Federico Cassola, Massimiliano Burlando,