Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network-Reference-Cited by-同舟云学术

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

Published:2020-06 Issue: Volume:213 Page:112869
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Rodrigues Moreno Sinvaldo^ORCID,Gomes da Silva Ramon^ORCID,Cocco Mariani Viviana^ORCID,dos Santos Coelho Leandro^ORCID

Funder

National Council of Scientific and Technologic Development of Brazil

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference47 articles.

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3. Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy;Li;Renew Energy,2019

4. Data processing strategies in wind energy forecasting models and applications: A comprehensive review;Liu;Appl Energy,2019

5. Moreno, S. R. Silva, R. G. Ribeiro, M. H. D. M. Fraccanabbia, N. Mariani, V. C. oelho L. S. C. Very short-term wind energy forecasting based on stacking ensemble. In: 14th Brazilian Computational Intelligence Meeting (CBIC 2019); 2019, Belém, PA, Brazil, v. 1. p. 1-8.

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