Short-Term Wind Power Prediction Based on Data Decomposition and Combined Deep Neural Network

Short-Term Wind Power Prediction Based on Data Decomposition and Combined Deep Neural Network

A hybrid short-term wind power prediction model based on data decomposition and combined deep neural network is proposed with the inclusion of the characteristics of fluctuation and randomness of nonlinear signals, such as wind speed and wind power. Firstly, the variational mode decomposition (VMD)...

Full description

Bibliographic Details
Main Authors: Xiaomei Wu, Songjun Jiang, Chun Sing Lai, Zhuoli Zhao, Loi Lei Lai
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
short-term wind power prediction
data decomposition
combined deep neural network
improved particle swarm optimization algorithm
optimal parameter
Online Access:https://www.mdpi.com/1996-1073/15/18/6734

Internet

https://www.mdpi.com/1996-1073/15/18/6734

Similar Items