Wind power Prediction based on the fusion of CN N-GRU combined neural network and attention mechanism-Reference-Cited by-同舟云学术

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Wind power Prediction based on the fusion of CN N-GRU combined neural network and attention mechanism

Published:2022-10-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )
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Author:

Wang Yankun¹,Song Zhenda¹,Liu Yuchen¹,Chen Jiacheng¹

Affiliation:

1. School of Engineering, Durham University,Durham,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9929429/9929329/09929869.pdf?arnumber=9929869

Reference11 articles.

1. Prediction model of drinking water source quality with potential industrial-agricultural pollution based on CNN-GRU-Attention

2. Vehicle Load Identification Method Based on Time-Frequency Analysis of Strain Signal and CNN Network [J];zhou;Journal of Hunan University (Natural Sciences),0

3. On the root mean square error (RMSE) calculation for parameter estimation of photovoltaic models: A novel exact analytical solution based on Lambert W function;?alasan;Energy Conversion and Management,0

4. An EMD-LST M-SVR model for the short-term roll and sway predictions of semi-submersible;ye;Ocean Engineering,0

5. Stock market interdependence between China and the world: A multi-factor R-squared approach

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