Hybrid methodology for modeling short-term wind power generation using conditional Kernel density estimation and singular spectrum analysis

Hybrid methodology for modeling short-term wind power generation using conditional Kernel density estimation and singular spectrum analysis

A fundamental part of the probabilistic forecasting of wind energy process is to take into account wind speed forecasts. To achieve accurate probabilistic forecast of wind output, it is developed a hybrid methodology using a nonparametric techniques known as SSA (Singular Spectrum Analysis) and (CKD...

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Bibliographic Details
Main Authors: Soraida Aguilar-Vargas, Reinaldo Castro-Souza, José Francisco Pessanha, Fernando Luiz Cyrino-Oliveira
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2017-05-01
Series:Dyna
Subjects:
Wind power generation
SSA
CKDE
time series
forecasting
Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/59541

Internet

https://revistas.unal.edu.co/index.php/dyna/article/view/59541

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