A parallel differential learning ensemble framework based on enhanced feature extraction and anti-information leakage mechanism for ultra-short-term wind speed forecast
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference44 articles.
1. A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic;Zhang;Energy Convers Manag,2020
2. A short-term wind energy hybrid optimal prediction system with denoising and novel error correction technique;Zhang;Energy,2022
3. Short-term wind speed prediction based on fractal dimension-variational mode decomposition and general continued fraction;Jin;Chaos, Solitons Fractals,2023
4. A cooperative ensemble method for multistep wind speed probabilistic forecasting;He;Chaos, Solitons Fractals,2022
5. A novel short-term wind speed prediction method based on hybrid statistical-artificial intelligence model with empirical wavelet transform and hyperparameter optimization;Yang;J Wind Eng Ind Aerodyn,2023
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