Probabilistic optimization based adaptive neural network for short-term wind power forecasting with climate uncertainty

Author:

Zhou Yu,Huang Ruochen,Lin QiongbinORCID,Chai Qinqin,Wang Wu

Funder

Major Science and Technology Project of Hainan Province

Publisher

Elsevier BV

Reference27 articles.

1. Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks;Lin;Int J Electr Power Energy Syst,2020

2. Wind power interval prediction via an integrated variational empirical decomposition deep learning model;Zhao;Sustainability,2023

3. Deep learning based surface irradiance mapping model for solar PV power forecasting using sky image;Zhen;IEEE Trans Ind Appl,2020

4. A hybrid attention-based deep learning approach for wind power prediction;Ma;Appl Energy,2022

5. Prediction of interaction between grid and wind farms based on PCA-LSTM model;Wang;Proc CSEE,2019

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