| Predicting compressive strength of lightweight foamed concrete using extreme learning machine model ZM Yaseen, RC Deo, A Hilal, AM Abd, LC Bueno, S Salcedo-Sanz, ... Advances in Engineering Software 115, 112-125, 2018 | 412 | 2018 |
| Feature selection in machine learning prediction systems for renewable energy applications S Salcedo-Sanz, L Cornejo-Bueno, L Prieto, D Paredes, R García-Herrera Renewable and Sustainable Energy Reviews 90, 728-741, 2018 | 180 | 2018 |
| Machine learning regressors for solar radiation estimation from satellite data L Cornejo-Bueno, C Casanova-Mateo, J Sanz-Justo, S Salcedo-Sanz Solar Energy 183, 768-775, 2019 | 131 | 2019 |
| A novel grouping genetic algorithm–extreme learning machine approach for global solar radiation prediction from numerical weather models inputs A Aybar-Ruiz, S Jiménez-Fernández, L Cornejo-Bueno, ... Solar Energy 132, 129-142, 2016 | 126 | 2016 |
| Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm–Extreme Learning Machine approach L Cornejo-Bueno, JC Nieto-Borge, P García-Díaz, G Rodríguez, ... Renewable Energy 97, 380-389, 2016 | 104 | 2016 |
| An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia S Salcedo-Sanz, RC Deo, L Cornejo-Bueno, C Camacho-Gómez, ... Applied Energy 209, 79-94, 2018 | 97 | 2018 |
| Bayesian optimization of a hybrid system for robust ocean wave features prediction L Cornejo-Bueno, EC Garrido-Merchán, D Hernández-Lobato, ... Neurocomputing 275, 818-828, 2018 | 80 | 2018 |
| Accurate estimation of significant wave height with support vector regression algorithms and marine radar images L Cornejo-Bueno, JCN Borge, E Alexandre, K Hessner, S Salcedo-Sanz Coastal Engineering 114, 233-243, 2016 | 68 | 2016 |
| Efficient prediction of low-visibility events at airports using machine-learning regression L Cornejo-Bueno, C Casanova-Mateo, J Sanz-Justo, E Cerro-Prada, ... Boundary-layer meteorology 165 (2), 349-370, 2017 | 50 | 2017 |
| Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives J Del Ser, D Casillas-Perez, L Cornejo-Bueno, L Prieto-Godino, ... Applied Soft Computing 118, 108526, 2022 | 49 | 2022 |
| Persistence analysis and prediction of low-visibility events at Valladolid Airport, Spain S Cornejo-Bueno, D Casillas-Pérez, L Cornejo-Bueno, MI Chidean, ... Symmetry 12 (6), 1045, 2020 | 31 | 2020 |
| Robust estimation of wind power ramp events with reservoir computing M Dorado-Moreno, L Cornejo-Bueno, PA Gutiérrez, L Prieto, ... Renewable Energy 111, 428-437, 2017 | 30 | 2017 |
| Wind power ramp events prediction with hybrid machine learning regression techniques and reanalysis data L Cornejo-Bueno, L Cuadra, S Jiménez-Fernández, ... Energies 10 (11), 1784, 2017 | 27 | 2017 |
| Statistical analysis and machine learning prediction of fog-caused low-visibility events at A-8 motor-road in Spain S Cornejo-Bueno, D Casillas-Pérez, L Cornejo-Bueno, MI Chidean, ... Atmosphere 12 (6), 679, 2021 | 20 | 2021 |
| Significant wave height and energy flux estimation with a Genetic Fuzzy System for regression L Cornejo-Bueno, P Rodríguez-Mier, M Mucientes, JC Nieto-Borge, ... Ocean Engineering 160, 33-44, 2018 | 17 | 2018 |
| Wind power ramp event detection with a hybrid neuro-evolutionary approach L Cornejo-Bueno, C Camacho-Gómez, A Aybar-Ruíz, L Prieto, ... Neural Computing and Applications 32, 391-402, 2020 | 13 | 2020 |
| A grouping genetic algorithm—Extreme learning machine approach for optimal wave energy prediction L Cornejo-Bueno, A Aybar-Ruíz, S Jiménez-Fernández, E Alexandre, ... 2016 IEEE Congress on Evolutionary Computation (CEC), 3817-3823, 2016 | 11 | 2016 |
| Combining reservoir computing and over-sampling for ordinal wind power ramp prediction M Dorado-Moreno, L Cornejo-Bueno, PA Gutiérrez, L Prieto, ... Advances in Computational Intelligence: 14th International Work-Conference …, 2017 | 9 | 2017 |
| Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing M Dorado-Moreno, PA Gutiérrez, L Cornejo-Bueno, L Prieto, ... Neural Processing Letters 52, 57-74, 2020 | 7 | 2020 |
| Machine learning classification–regression schemes for desert locust presence prediction in western Africa L Cornejo-Bueno, J Pérez-Aracil, C Casanova-Mateo, J Sanz-Justo, ... Applied Sciences 13 (14), 8266, 2023 | 6 | 2023 |
Sancho Salcedo-SanzCatedrático de Teoría de la Señal, Universidad de AlcaláDirección de correo verificada de uah.es
