Double-layer staged training echo-state networks for wind speed prediction using variational mode decomposition

Author:

Bai Yulong,Liu Ming-De,Ding Lin,Ma Yong-Jie

Funder

National Natural Science Foundation of China

Northwest Normal University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference67 articles.

1. Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison;Zuluaga;Appl Energy,2015

2. GWEC. Global Wind Statistics. https://www.compositesworld.com/news/gwec-reports-more-than-60-gw- new-wind-energy-capacity-in-2019.

3. Using artificial neural networks for temporal and spatial wind speed forecasting in Iran;Noorollahi;Energy Convers Manage,2016

4. S2-Net: machine reading comprehension with SRU-based self-matching networks;Cheoneum;ETRI J,2019

5. Small-scale solar radiation forecasting using ARMA and nonlinear autoregressive neural network models;Benmouiza;Theor Appl Climatol,2016

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