Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network-Reference-Cited by-同舟云学术

Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network

Published:2018-02 Issue: Volume:157 Page:1-12
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Sun Wei,Wang Yuwei

Publisher

Elsevier BV

Subject

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

Reference30 articles.

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3. Linear and non-linear autoregressive models for short-term wind speed forecasting;Lydia;Energy Convers Manage,2016

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

5. Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA-ANN model;Cadenas;Renew Energy,2010

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