Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction-Reference-Cited by-同舟云学术

Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction

Published:2017-12 Issue: Volume:113 Page:1345-1358
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Wang Deyun,Luo Hongyuan,Grunder Olivier,Lin Yanbing

Funder

National Natural Science Foundation of China

Scientific Research Foundation for the Returned Overseas Chinese Scholars

State Education Ministry of China

Science Foundation of Mineral Resource Strategy and Policy Research Center

China University of Geosciences

Natural Science Foundation of Hubei Province

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

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4. Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction;Liu;Appl. Energy,2012

5. Gaussian process regression based hybrid approach for short-term wind speed prediction;Zhang;Energy Convers. Manag.,2016

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