A novel ultra-short-term wind speed prediction method based on dynamic adaptive continued fraction-Reference-Cited by-同舟云学术

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A novel ultra-short-term wind speed prediction method based on dynamic adaptive continued fraction

Published:2024-03 Issue: Volume:180 Page:114532
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Jin Ji,Tian Jinyu,Yu Min,Wu Yong,Tang Yuanyan

Funder

National Natural Science Foundation of China

Wuhan University of Science and Technology State Key Laboratory of Refractories and Metallurgy

Publisher

Elsevier BV

Reference34 articles.

1. Sites exploring prioritisation of offshore wind energy potential and mapping for wind farms installation: Iranian islands case studies;Nezhad;Renew Sust Energ Rev,2022

2. Achieving wind power and photovoltaic power prediction: an intelligent prediction system based on a deep learning approach;Zhang;Energy,2023

3. A novel short-term wind speed prediction method based on hybrid statistical-artificial intelligence model with empirical wavelet transform and hyperparameter optimization;Yang;J Wind Eng Ind Aerodyn,2023

4. Ultra-short-term wind power interval prediction based on multi-task learning and generative critic networks;Shi;Energy,2023

5. A novel algorithm system for wind power prediction based on RANSAC data screening and Seq2Seq-attention- BiGRU model;Zhou;Energy,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Convergence sets and relative stability to perturbations of a branched continued fraction with positive elements;Carpathian Mathematical Publications;2024-03-17

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