Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux

Research areas:

• Applications - Renewable Energy

Year:

2021

Type of Publication:

Article

Authors:

• Gómez-Orellana, Antonio Manuel
• Fernández, Juan Carlos
• Dorado-Moreno, Manuel
• Gutiérrez, Pedro Antonio
• Hervás-Martínez, César

Journal:

Energies

Volume:

14

Number:

2

Pages:

468

Month:

January

ISSN:

1996-1073

BibTex:

@article{orellana2021, author = "Antonio Manuel G{\'o}mez-Orellana and Juan Carlos Fern{\'a}ndez and Manuel Dorado-Moreno and Pedro Antonio Guti{\'e}rrez and C{\'e}sar Herv{\'a}s-Mart{\'i}nez", awards = "JCR(2021): 3.252 Position: 80/119 (Q3) Category: ENERGY {\&}amp; FUELS", comments = "JCR(2021): 3.252 Position: 80/119 (Q3) Category: ENERGY {\&}amp; FUELS", doi = "https://doi.org/10.3390/en14020468", issn = "1996-1073", journal = "Energies", month = "January", note = "JCR(2021): 3.252 Position: 80/119 (Q3) Category: ENERGY {\&}amp; FUELS", number = "2", pages = "468", title = "{B}uilding {S}uitable {D}atasets for {S}oft {C}omputing and {M}achine {L}earning {T}echniques from {M}eteorological {D}ata {I}ntegration: {A} {C}ase {S}tudy for {P}redicting {S}ignificant {W}ave {H}eight and {E}nergy {F}lux", url = "http://doi.org/10.3390/en14020468", volume = "14", year = "2021", }

Note:

JCR(2021): 3.252 Position: 80/119 (Q3) Category: ENERGY & FUELS

Comments:

JCR(2021): 3.252 Position: 80/119 (Q3) Category: ENERGY & FUELS