Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions-Reference-Cited by-同舟云学术

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Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions

Published:2022-11 Issue: Volume:8 Page:8805-8820
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Chen Yinsong^ORCID,Yu Samson,Islam Shama,Lim Chee Peng,Muyeen S.M.^ORCID

Funder

Qatar National Library

Publisher

Elsevier BV

Subject

General Energy

Reference97 articles.

1. A new combinatory approach for wind power forecasting;Abedinia;IEEE Syst. J.,2020

2. Improved EMD-based complex prediction model for wind power forecasting;Abedinia;IEEE Trans. Sustain. Energy,2020

3. A wavelet neural network conjunction model for groundwater level forecasting;Adamowski;J. Hydrol.,2011

4. Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in himalayan micro-watersheds with limited data;Adamowski;J. Hydroinform.,2012

5. A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer;Altan;Appl. Soft Comput.,2021

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