Sancho
Salcedo Sanz
Catedrático/a de Universidad
María Julia
Sanz Justo
Publikationen, an denen er mitarbeitet María Julia Sanz Justo (17)
2023
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Machine Learning Classification–Regression Schemes for Desert Locust Presence Prediction in Western Africa
Applied Sciences (Switzerland), Vol. 13, Núm. 14
2022
2020
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Analysis and prediction of dammed water level in a hydropower reservoir using machine learning and persistence-based techniques
Water (Switzerland), Vol. 12, Núm. 6
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Evolutionary artificial neural networks for accurate solar radiation prediction
Energy, Vol. 210
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Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport
Atmospheric Research, Vol. 236
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Persistence analysis and prediction of low-visibility events at valladolid airport, Spain
Symmetry, Vol. 12, Núm. 6, pp. 1-18
2019
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Downscaling estadístico del servicio CAMS para la predicción de radiación solar global con datos Meteosat y técnicas de aprendizaje máquina
Teledetección: hacia una visión global del cambio climático
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Machine learning regressors for solar radiation estimation from satellite data
Solar Energy, Vol. 183, pp. 768-775
2018
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Efficient fog prediction with multi-objective evolutionary neural networks
Applied Soft Computing Journal, Vol. 70, pp. 347-358
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Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting
Engineering Applications of Artificial Intelligence, Vol. 69, pp. 157-167
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Merging ELMs with satellite data and clear-sky models for effective solar radiation estimation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Prediction of low-visibility events due to fog using ordinal classification
Atmospheric Research, Vol. 214, pp. 64-73
2017
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A CRO-species optimization scheme for robust global solar radiation statistical downscaling
Renewable Energy, Vol. 111, pp. 63-76
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Efficient Prediction of Low-Visibility Events at Airports Using Machine-Learning Regression
Boundary-Layer Meteorology, Vol. 165, Núm. 2, pp. 349-370
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Efficient prediction of total column ozone based on support vector regression algorithms, numerical models and Suomi-satellite data
Atmosfera, Vol. 30, Núm. 1, pp. 1-10
2016
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A novel Grouping Genetic Algorithm-Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs
Solar Energy, Vol. 132, pp. 129-142
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Feature selection in solar radiation prediction using bootstrapped SVRs
2016 IEEE Congress on Evolutionary Computation, CEC 2016