A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction-Reference-Cited by-同舟云学术

A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction

Published:2020-07-01 Issue:7 Volume:33 Page:2369-2391
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ruiz-Aguilar J. J.^ORCID,Turias I.^ORCID,González-Enrique J.^ORCID,Urda D.^ORCID,Elizondo D.^ORCID

Funder

Ministerio de Economía y Competitividad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-020-05141-w.pdf

Reference53 articles.

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4. Martin ML, Turias IJI, Gonzalez FJ et al (2008) Prediction of CO maximum ground level concentrations in the Bay of Algeciras, Spain using artificial neural networks. Chemosphere 70:1190–1195. https://doi.org/10.1016/j.chemosphere.2007.08.039

5. Muñoz E, Martín ML, Turias IJI et al (2014) Prediction of PM10 and SO2 exceedances to control air pollution in the Bay of Algeciras, Spain. Stoch Environ Res Risk Assess 28:1409–1420. https://doi.org/10.1007/s00477-013-0827-6

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