Evolving long short-term memory neural network for wind speed forecasting-Reference-Cited by-同舟云学术

Evolving long short-term memory neural network for wind speed forecasting

Published:2023-06 Issue: Volume:632 Page:390-410
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Huang Cong,Karimi Hamid Reza,Mei Peng,Yang Daoguang^ORCID,Shi Quan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

1. Ultra-short-term wind speed forecasting based on EMD-VAR model and spatial correlation;Jiang;Energy Convers. Manag.,2021

2. Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China;Ma;Inf. Sci.,2019

3. A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and differential evolution algorithm;Hu;Energy Convers. Manag.,2018

4. A short-term wind speed interval prediction method based on WRF simulation and multivariate line regression for deep learning algorithms;Han;Energy Convers. Manag.,2022

5. Wind power forecasting for a real onshore wind farm on complex terrain using WRF high resolution simulations;Prósper;Renew. Energy,2019

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