Julia Sanz Justo +
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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
Potato yield prediction using machine learning techniques and sentinel 2 data
D Gómez, P Salvador, J Sanz, JL Casanova
Remote Sensing 11 (15), 1745, 2019
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
Evolutionary artificial neural networks for accurate solar radiation prediction
D Guijo-Rubio, AM Durán-Rosal, PA Gutiérrez, AM Gómez-Orellana, ...
Energy 210, 118374, 2020
Modelling wheat yield with antecedent information, satellite and climate data using machine learning methods in Mexico
D Gómez, P Salvador, J Sanz, JL Casanova
Agricultural and Forest Meteorology 300, 108317, 2021
A new approach to monitor water quality in the Menor sea (Spain) using satellite data and machine learning methods
D Gómez, P Salvador, J Sanz, JL Casanova
Environmental Pollution 286, 117489, 2021
Prediction of low-visibility events due to fog using ordinal classification
D Guijo-Rubio, PA Gutiérrez, C Casanova-Mateo, J Sanz-Justo, ...
Atmospheric Research 214, 64-73, 2018
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
Machine learning approach to locate desert locust breeding areas based on ESA CCI soil moisture
D Gómez, P Salvador, J Sanz, C Casanova, D Taratiel, JL Casanova
Journal of Applied Remote Sensing 12 (3), 036011-036011, 2018
Desert locust detection using Earth observation satellite data in Mauritania
D Gómez, P Salvador, J Sanz, C Casanova, D Taratiel, JL Casanova
Journal of arid environments 164, 29-37, 2019
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting
O García-Hinde, G Terrén-Serrano, MÁ Hombrados-Herrera, ...
Engineering Applications of Artificial Intelligence 69, 157-167, 2018
A CRO-species optimization scheme for robust global solar radiation statistical downscaling
S Salcedo-Sanz, S Jiménez-Fernández, A Aybar-Ruíz, ...
Renewable Energy 111, 63-76, 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
Analysis and prediction of dammed water level in a hydropower reservoir using machine learning and persistence-based techniques
C Castillo-Botón, D Casillas-Pérez, C Casanova-Mateo, ...
Water 12 (6), 1528, 2020
Efficient fog prediction with multi-objective evolutionary neural networks
AM Durán-Rosal, JC Fernández, C Casanova-Mateo, J Sanz-Justo, ...
Applied Soft Computing 70, 347-358, 2018
Modelling desert locust presences using 32-year soil moisture data on a large-scale
D Gómez, P Salvador, J Sanz, JL Casanova
Ecological Indicators 117, 106655, 2020
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
Feature selection in solar radiation prediction using bootstrapped SVRs
O Garcia-Hinde, V Gómez-Verdejo, M Martínez-Ramón, ...
2016 IEEE Congress on Evolutionary Computation (CEC), 3638-3645, 2016
Can Eltonian processes explain species distributions at large scale? A case study with Great Bustard (Otis tarda)
JM Alvarez‐Martínez, S Suárez‐Seoane, C Palacín, J Sanz, JC Alonso
Diversity and Distributions 21 (2), 123-138, 2015
Detecting areas vulnerable to sand encroachment using remote sensing and GIS techniques in Nouakchott, Mauritania
D Gómez, P Salvador, J Sanz, C Casanova, JL Casanova
Remote Sensing 10 (10), 1541, 2018
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