A Hybrid Deep Interval Prediction Model for Wind Speed Forecasting

A Hybrid Deep Interval Prediction Model for Wind Speed Forecasting

How to predict wind speed with high accuracy is a fundamental issue for the generation of wind power and energy management of power systems. Moreover, the nonlinear and non-stationary characteristics of wind speed make the task extremely challenging. To resolve this issue, a novel hybrid interval pr...

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Bibliographic Details
Main Authors: Yuhong Li, Xinbiao Chen, Chaoshun Li, Geng Tang, Zhenhao Gan, Xueli An
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Interval prediction
wind speed forecasting
long short-term memory networks
variational mode decomposition
lower upper bound estimation
particle swarm optimization
Online Access:https://ieeexplore.ieee.org/document/9311176/

Internet

https://ieeexplore.ieee.org/document/9311176/

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