Short-Term Wind Power Prediction Based on Variable Selection and MI-GCN Network

Author:

Wang Xiaohui1,Zhao Ruyi1,Zheng Bihuang1,Li Daoxing1

Affiliation:

1. China Electric Power Research Institute Co., Ltd.,Beijing,China,100192

Publisher

IEEE

Reference21 articles.

1. Wind power interval prediction based on fluctuation trend segmentation [J];Li;Power System Automation,2023

2. Ultra-short-term wind power prediction based on double decomposition and LSSVM

3. Short term wind power prediction based on DLCEEMDAN-S A-TCN and error correction [J];Chenggang;Power Information and Communication Technology,2022

4. Short term power load prediction based on CEEMD-FE and AOA-LSSVM [J];Haizhu;Power System Protection and Control,2022

5. NO of coal-fired boilers based on Bayesian optimization random forest regression_X prediction model [J];Hubin;Journal of Power Engineering,2023

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