Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction

Author:

Li Yanfei,Wu Haiping,Liu Hui

Funder

National Natural Science Foundation of China

Changsha Science & Technology Project

Shenghua Yu-ying Talents Program of the Central South University

Central South University

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference44 articles.

1. Photovoltaics and wind status in the European Union after the Paris Agreement;Lacal Arantegui;Renew Sustain Energy Rev,2018

2. China’s energy revolution strategy into 2030;Liu;Resour Conserv Recycl,2018

3. Wind energy developments and policies in China: a short review;Sahu;Renew Sustain Energy Rev,2018

4. Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network;Liu;Energy Convers Manage,2018

5. Research and application of a combined model based on variable weight for short term wind speed forecasting;Li;Renew Energy,2018

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