Very short-term wind power forecasting for real-time operation using hybrid deep learning model with optimization algorithm

Author:

Faruque Md. Omer,Hossain Md. AlamgirORCID,Islam Md. Rashidul,Alam S.M. Mahfuz,Karmaker Ashish Kumar

Publisher

Elsevier BV

Reference58 articles.

1. A new combinatory approach for wind power forecasting;Abedinia;IEEE Syst. J.,2020

2. Very short-term forecasting of wind power generation using hybrid deep learning model;Alamgir;J. Clean. Prod.,2021

3. Deep learning for computational biology;Angermueller;Mol. Syst. Biol.,2016

4. Performance comparison of grid search and random search methods for hyperparameter tuning in extreme gradient boosting algorithm to predict chronic kidney failure;Anggoro,2020

5. Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short-term memory neural network;Duan;Energy,2021

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