A review on the recent history of wind power ramp forecasting

作者: Cristobal Gallego-Castillo , Alvaro Cuerva-Tejero , Oscar Lopez-Garcia

DOI: 10.1016/J.RSER.2015.07.154

关键词:

摘要: … amounts of wind energy. This paper presents a survey on wind power ramp forecasting, … located in France was considered, and the Ensemble Prediction System of the ECMWF was …

参考文章(47)
Y. H. Wan, Analysis of Wind Power Ramping Behavior in ERCOT National Renewable Energy Laboratory (U.S.). ,(2011) , 10.2172/1009681
José Vidal-Pérez, John W. Zack, Joan Aymamí, Abel Tortosa-Andreu, An Innovative Short-Term Large Wind Ramp Forecasting System EGU General Assembly Conference Abstracts. pp. 3503- ,(2010)
G Giebel, C Draxl, G Kariniotakis, R Brownsword, M Denhard, The state-of-the-art in short-term prediction of wind power. A literature overview ,(2011)
Carlos M. Alaíz, Ana M. González, Julia Díaz, José R. Dorronsoro, Ángela Fernández, Diffusion methods for wind power ramp detection international conference on artificial neural networks. pp. 106- 113 ,(2013) , 10.1007/978-3-642-38679-4_9
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud, Predicting Ramp Events with a Stream-Based HMM Framework discovery science. pp. 224- 238 ,(2012) , 10.1007/978-3-642-33492-4_19
Carlos Ferreira, Joao Gama, L Matias, Audun Botterud, J_ Wang, None, A survey on wind power ramp forecasting. Argonne National Laboratory. ,(2011) , 10.2172/1008309
C. Ferreira, J. Gama, V. Miranda, A. Botterud, Probabilistic Ramp Detection and Forecasting for Wind Power Prediction Springer India. pp. 29- 44 ,(2013) , 10.1007/978-81-322-0987-4_3
Erik Ela, Wind Plant Ramping Behavior National Renewable Energy Laboratory (U.S.). ,(2009) , 10.2172/969723
E. Ela, B. Kirby, ERCOT Event on February 26, 2008: Lessons Learned National Renewable Energy Laboratory (U.S.). ,(2008) , 10.2172/935114
Nick Ellis, Robert Davy, Alberto Troccoli, Predicting wind power variability events using different statistical methods driven by regional atmospheric model output Wind Energy. ,vol. 18, pp. 1611- 1628 ,(2015) , 10.1002/WE.1779