Models LSSVR and PLSSVR With Heteroscedastic Gaussian Noise Characteristics and Its Application for Short-Term Wind-Speed Forecasting

Models LSSVR and PLSSVR With Heteroscedastic Gaussian Noise Characteristics and Its Application for Short-Term Wind-Speed Forecasting

Proximal least squares support vector regression is a new regression machine designed by using regularization principle technology and least squares support vector regression. In this paper, we use the above models framework to build a new regression model, called the Proximal least squares support...

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Bibliographic Details
Main Authors: Ting Zhou, Ge Feng, Shiguang Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Heteroscedastic Gaussian noise
proximal least squares support vector
regression model
short-term wind-speed forecasting
Online Access:https://ieeexplore.ieee.org/document/10164119/

Internet

https://ieeexplore.ieee.org/document/10164119/

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