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Recurrent neural networks solving a real large scale mid-term scheduling for power plants.

, , , , , and . IJCNN, page 1-6. IEEE, (2010)

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Improving reservoir based wind power forecasting with ensembles., , , , , , and . SMC, page 946-952. IEEE, (2014)Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind park., , , , , and . IJCNN, page 172-178. IEEE Computer Society, (2009)Forecasting models of wind power in Northeastern of Brazil., , , , , and . IJCNN, page 1-8. IEEE, (2013)Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence., , , , , and . IJCNN, page 1-8. IEEE, (2012)Models Based on Neural Networks and Neuro-Fuzzy Systems for Wind Power Prediction Using Wavelet Transform as Data Preprocessing Method., , , , , and . EANN, volume 311 of Communications in Computer and Information Science, page 272-281. Springer, (2012)Recurrent neural networks solving a real large scale mid-term scheduling for power plants., , , , , and . IJCNN, page 1-6. IEEE, (2010)A fuzzy system for detection of incipient fault in power transformers based on gas-in-oil analysis., , , , , , and . FUZZ-IEEE, page 1-6. IEEE, (2010)Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term., , , , and . IJCNN, page 1649-1656. IEEE, (2008)Assessment of power curves in models of wind power forecasting., , , , , , and . IJCNN, page 3915-3922. IEEE, (2016)Investigating the use of Echo State Networks for prediction of wind power generation., , , , , , and . CIES, page 148-154. IEEE, (2014)