Crossmark

Short-term wind speed prediction based on improved Hilbert–Huang transform method coupled with NAR dynamic neural network model

Published Online: 2024-01-05

Authors

Chen, Jian

Guo, Zhikai

Zhang, Luyao

Zhang, Shanju
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (Grant No. U22A20237)

Open Research Fund of Key Laboratory of Sediment Science and Northern River Training, the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research (Grant No. IWHR-SED-202103)

Master Innovation Ability Improvement Project of North China University of Water Resources and Electric Power (Grant No. NCWUYC-2023007)
License Information

Text and Data Mining valid from 2024-01-05

Version of Record valid from 2024-01-05
More Information

Article History

Received: 11 October 2023

Accepted: 2 January 2024

First Online: 5 January 2024

Competing interests

: The authors declare no competing interests.

Document is current