An Adaptive Interval Construction Based GRU Model for Short-Term Wind Speed Interval Prediction Using Two Phase Search Strategy-Reference-Cited by-同舟云学术

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An Adaptive Interval Construction Based GRU Model for Short-Term Wind Speed Interval Prediction Using Two Phase Search Strategy

Published:2023 Issue: Volume:4 Page:375-389
ISSN:2644-1322
Container-title:IEEE Open Journal of Signal Processing
language:
Short-container-title:IEEE Open J. Signal Process.

Author:

Liu Zhao-Hua¹^ORCID,Wang Chang-Tong²^ORCID,Wei Hua-Liang³^ORCID,Chen Lei¹^ORCID,Li Xiao-Hua¹^ORCID,Lv Ming-Yang¹^ORCID

Affiliation:

1. School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, China

2. Harbin Electric Corporation Wind Power Company, Ltd., Xiangtan, China

3. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, U.K.

Funder

National Key Research and Development Project of China

National Natural Science Foundation of China

Hunan Provincial Key Research and Development Project of China

International Exchanges 2022 Cost Share Programme Between the Royal Society

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/8782710/10040759/10192081.pdf?arnumber=10192081

Reference44 articles.

1. Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization

2. Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks

3. Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection

4. Temporal convolutional networks interval prediction model for wind speed forecasting

5. Wind farm power uncertainty quantification using a mean-variance estimation method

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