Two-stage correction prediction of wind power based on numerical weather prediction wind speed superposition correction and improved clustering
Author:
Funder
Ministry of Science and Technology of the People's Republic of China
Publisher
Elsevier BV
Reference57 articles.
1. Power prediction of a wind farm cluster based on spatiotemporal correlations;Zhang;Appl Energy,2021
2. Ultra-short-term wind farm cluster power prediction based on FC-GCN and trend-aware switching mechanism;Yang;Energy,2024
3. A composite framework for photovoltaic day-ahead power prediction based on dual clustering of dynamic time warping distance and deep autoencoder;Yang;Renew Energy,2022
4. Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process;Yang;Energy,2023
5. A short-term wind power prediction method based on dynamic and static feature fusion mining;Yang;Energy,2023
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