EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height-Reference-Cited by-同舟云学术

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EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height

Published:2024-09 Issue: Volume:300 Page:112223
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Vargas Víctor M.^ORCID,Gómez-Orellana Antonio M.^ORCID,Gutiérrez Pedro A.^ORCID,Hervás-Martínez César,Guijo-Rubio David^ORCID

Funder

Ministerio de Ciencia e Innovación

Junta de Andalucía Consejería de Transformación Económica Industria Conocimiento y Universidades

University of Cordoba

Agencia Estatal de Investigación

European Commission

Publisher

Elsevier BV

Reference62 articles.

1. A global assessment: can renewable energy replace fossil fuels by 2050?;Holechek;Sustainability,2022

2. Renewable energy and climate change;Olabi;Renew. Sustain. Energy Rev.,2022

3. Hydrodynamic modelling of marine renewable energy devices: A state of the art review;Day;Ocean Eng.,2015

4. Ocean wave energy in the United States: Current status and future perspectives;Lehmann;Renew. Sustain. Energy Rev.,2017

5. Wave energy in the UK: Status review and future perspectives;Jin;Renew. Sustain. Energy Rev.,2021

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