Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data

Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data

Wind Power Ramp Events (WPREs) are large fluctuations of wind power in a short time interval, which lead to strong, undesirable variations in the electric power produced by a wind farm. Its accurate prediction is important in the effort of efficiently integrating wind energy in the electric system,...

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Bibliographic Details
Main Authors: Laura Cornejo-Bueno, Lucas Cuadra, Silvia Jiménez-Fernández, Javier Acevedo-Rodríguez, Luis Prieto, Sancho Salcedo-Sanz
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Energies
Subjects:
wind energy
wind power ramp events
machine learning regressors
reanalysis
Gaussian processes
support vector machines
neural networks
Online Access:https://www.mdpi.com/1996-1073/10/11/1784

Internet

https://www.mdpi.com/1996-1073/10/11/1784

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