An adaptive hybrid system using deep learning for wind speed forecasting

Author:

de Mattos Neto Paulo S.G.,de Oliveira João F.L.,de O. Santos Júnior Domingos S.,Siqueira Hugo Valadares,Marinho Manoel H.N.,Madeiro Francisco

Funder

AES

CAPES

CNPq

Araucaria Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Ultra-short-term wind speed forecasting using an optimized artificial intelligence algorithm;Wang;Renewable Energy,2021

2. Multi-aspect renewable energy forecasting;Corizzo;Information Sciences,2021

3. Wind energy potential assessment based on wind speed, its direction and power data;Wang;Scientific Reports,2021

4. Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting;Ribeiro;Engineering Applications of Artificial Intelligence,2019

5. Current status and future advances for wind speed and power forecasting;Jung;Renewable and Sustainable Energy Reviews,2014

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