A novel hybrid model based on nonlinear weighted combination for short-term wind power forecasting-Reference-Cited by-同舟云学术

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A novel hybrid model based on nonlinear weighted combination for short-term wind power forecasting

Published:2022-01 Issue: Volume:134 Page:107452
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:

Duan Jiandong,Wang Peng,Ma Wentao,Fang Shuai,Hou Zequan

Funder

National Natural Science Foundation of China

Shaanxi Province Natural Science Foundation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference42 articles.

1. Short-term wind speed forecasting via stacked extreme learning machine with generalized correntropy;Luo;IEEE Trans Ind Inf,2018

2. A review of deep learning for renewable energy forecasting;Wang;Energy Convers Manage,2019

3. Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction;Ma;Energy Convers Manage,2020

4. A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine;Zhang;Energy Convers Manage,2019

5. Wind power forecast based on improved Long Short Term Memory network;Han;Energy,2019

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