Article Versions Notes

Gómez-Orellana AM, Fernández JC, Dorado-Moreno M, Gutiérrez PA, Hervás-Martínez C. 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. Energies. 2021; 14(2):468. https://doi.org/10.3390/en14020468

Gómez-Orellana, Antonio Manuel, Juan Carlos Fernández, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, and César Hervás-Martínez. 2021. "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" Energies 14, no. 2: 468. https://doi.org/10.3390/en14020468

Gómez-Orellana, A. M., Fernández, J. C., Dorado-Moreno, M., Gutiérrez, P. A., & Hervás-Martínez, C. (2021). 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. Energies, 14(2), 468. https://doi.org/10.3390/en14020468