A new strategy for predicting short-term wind speed using soft computing models
Author:
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference43 articles.
1. Strategies for wind power trading in competitive electricity markets;Singh;IEEE Transactions on Energy Conversion,2008
2. Technical challenges associated with the integration of wind power into power systems;Georgilakis;Renewable and Sustainable Energy Reviews,2008
3. Soman S, Zareipour H, Malik O, Mandal P. A review of wind power and wind speed forecasting methods with different time horizons. In: North American power symposium (NAPS); 2010. p. 1–8.
4. Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction;Salcedo-Sanz;Renewable Energy,2009
5. Comparison of two new short-term wind-power forecasting systems;Ramirez-Rosado;Renewable Energy,2009
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