Articles | Volume 6, issue 1
https://doi.org/10.5194/asr-6-55-2011
https://doi.org/10.5194/asr-6-55-2011
21 Mar 2011
 | 21 Mar 2011

Improving short-term forecasting during ramp events by means of Regime-Switching Artificial Neural Networks

C. Gallego, A. Costa, and A. Cuerva

Cited articles

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Giebel, G.: The state of the art in short-term prediction of wind power – A literature overview, Tech. rep., ANEMOS EU project, 2003.
Greaves, B., Collins, J., Parkes, J., and Tindal, A.: Temporal Forecast Uncertainty for Ramp Events, Wind Engineering, 33, 309–320, 2009.
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