Short term wind speed prediction using multiple kernel pseudo inverse neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
http://link.springer.com/article/10.1007/s11633-017-1086-7/fulltext.html
Reference33 articles.
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3. B. Candy, S. J. English, S. J. Keogh. A comparison of the impact of QuikScat and WindSat wind vector products on met office analyses and forecasts. IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 6, 1632–1640, 2009.
4. J. L. Torres, A. García, M. De Blas, A. De Francisco. Forecast of hourly average wind speed with ARMA models in Navarre (Spain). Solar Energy, vol. 79, no. 1, pp. 65–77, 2005.
5. P. Y. Chen, T. Pedersen, B. J. Birgitte, Z. Chen. ARIMAbased time series model of stochastic wind power generation. IEEE Transactions on Power Systems, vol. 25, no. 2, pp. 667–676, 2010.
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