Short-term Wind Power Forecasting Using the Hybrid Model of Improved Variational Mode Decomposition and Maximum Mixture Correntropy Long Short-term Memory Neural Network-Reference-Cited by-同舟云学术

Short-term Wind Power Forecasting Using the Hybrid Model of Improved Variational Mode Decomposition and Maximum Mixture Correntropy Long Short-term Memory Neural Network

Published:2023-01 Issue: Volume:144 Page:108552
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Lu Wenchao^ORCID,Duan Jiandong^ORCID,Wang Peng,Ma Wentao,Fang Shuai

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference41 articles.

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5. Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model;Zhang;Appl Energy,2019

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