A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm

Author:

He ZhaoshuangORCID,Chen Yanhua,Shang Zhihao,Li Caihong,Li Lian,Xu Mingliang

Funder

National Natural Science Foundation of China

University of Henan Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation

Reference42 articles.

1. http://gwec.net/about-winds/about-gwec/.

2. Global wind power capacity grows by 52.6 gW. http://www.renewableenergyworld.com/ugc/articles/2018/02/27/global-wind-power-capacity-grows.

3. Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM;Liu;Energy Convers. Manag.,2018

4. Oblique random forest ensemble via least square estimation for time series forecasting;Qiu;Inf. Sci.,2017

5. Analysis and forecasting of wind velocity in chetumal, quintana roo, using the single exponential smoothing method;Cadenas;Renew. Energy,2010

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