A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy-Reference-Cited by-同舟云学术

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A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy

Published:2024-06 Issue: Volume:132 Page:107906
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Liu Jingjiang^ORCID,Wang Jianzhou^ORCID,Niu Yunbo,Ji Boqian,Gu Lei

Publisher

Elsevier BV

Reference67 articles.

1. Models of time series with time granulation;Al-Hmouz;Knowl. Inf. Syst.,2016

2. Data-adaptive censoring for short-term wind speed predictors based on MLP, RNN, and SVM;Ali Ogün;IEEE Syst. J.,2022

3. A combined filtering strategy for short term and long term wind speed prediction with improved accuracy;Cai;Renew. Energy,2019

4. A review on neural networks with random weights;Cao;Neurocomputing,2018

5. Trends of daily peak wind gusts in Spain and Portugal, 1961–2014;Cesar;J. Geophys. Res. Atmos.,2016

Cited by 2 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. A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection;Expert Systems with Applications;2024-12

2. A combined interval prediction system based on fuzzy strategy and neural network for wind speed;Applied Soft Computing;2024-04

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