An innovative hybrid approach for multi-step ahead wind speed prediction-Reference-Cited by-同舟云学术

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An innovative hybrid approach for multi-step ahead wind speed prediction

Published:2019-05 Issue: Volume:78 Page:296-309
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Wang Jujie,Li Yaning

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province, China

Qing Lan Project, China

Top-notch Academic Programs Project of Jiangsu Higher Education Institutions, China

Priority Academic Program Development of Jiangsu Higher Education Institutions, China

Publisher

Elsevier BV

Subject

Software

Reference35 articles.

1. Most influential parametrical and data needs for realistic wind speed prediction;Agrawal;Renew. Energy,2016

2. One day ahead prediction of wind speed direction;El-Fouly;IEEE Trans. Energy Convers.,2008

3. T.H.M. El-Fouly, E.F. El-Saadany, M.M.A. Salama, One day ahead prediction of wind speed using annual trends, in: IEEE, Power Engineering Society General Meeting, 2006.

4. Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy;Wang;Appl. Energy,2018

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