Research on short-term wind speed prediction based on EEMD-GRU prediction model-Reference-Cited by-同舟云学术

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Research on short-term wind speed prediction based on EEMD-GRU prediction model

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI)
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Author:

Cai Yingpeng¹,Wei Dingkai²,Zhou Fengchi³

Affiliation:

1. Guangdong Ocean University,College of Ocean Engineering and Energy,Zhanjiang,China

2. Chang'an University,School of Materials Science and Engineering,Xi’an,China

3. China Three Gorges University,College of Mechanical and Power Engineering,Yichang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10176329/10176364/10176913.pdf?arnumber=10176913

Reference4 articles.

1. A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM

2. Review on wind speed prediction based on spatial correlation[J];xue;Automation of Electric Power Systems,2017

3. A Novel Short-Term Wind Speed Prediction Based on MFEC

4. Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction

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. Ultra-Short-Term Wind Speed Prediction Based on ICEEMDAN and SSA-LSTM;2024 IEEE 7th International Electrical and Energy Conference (CIEEC);2024-05-10

2. Short-term Prediction of Wind Power Based on Convolutional Gated Recurrent Unit Model;2023 9th International Conference on Big Data and Information Analytics (BigDIA);2023-12-15

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