Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy-Reference-Cited by-同舟云学术

Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy

Author:

Wang Jujie,Li Yaning

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province

China Postdoctoral Science Foundation

Qing Lan Project, the National Natural Science Foundation of China

National Social Science Foundation of China

Startup Foundation for Introducing Talent of NUIST

Flagship Major Development of Jiangsu Higher Education Institutions

Priority Academic Program Development of Jiangsu Higher Education Institutions

Top-notch Academic Programs Project of Jiangsu Higher Education Institutions

Publisher

Elsevier BV

Subject

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

Reference37 articles.

1. World Wind Energy Association. World wind energy report; 2017.

3. Autoencoder for wind power prediction;Tasnim;Renew: Wind Water Solar,2017

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