Sancho
Salcedo Sanz
Catedrático/a de Universidad
Laura María
Cornejo Bueno
Profesor/a Ayudante Doctor/a
Publications by the researcher in collaboration with Laura María Cornejo Bueno (35)
2024
-
Autoencoder Framework for General Forecasting
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Data Augmentation Techniques for Extreme Wind Prediction Improvement
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Long-term temperature prediction with hybrid autoencoder algorithms
Applied Computing and Geosciences, Vol. 23
-
Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023
-
Machine Learning Classification–Regression Schemes for Desert Locust Presence Prediction in Western Africa
Applied Sciences (Switzerland), Vol. 13, Núm. 14
-
New Probabilistic, Dynamic Multi-Method Ensembles for Optimization Based on the CRO-SL
Mathematics, Vol. 11, Núm. 7
2022
-
Analysis of Machine Learning Approaches’ Performance in Prediction Problems with Human Activity Patterns
Mathematics, Vol. 10, Núm. 13
-
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
Applied Soft Computing, Vol. 118
2021
2020
-
Correction to: Wind power ramp event detection with a hybrid neuro-evolutionary approach (Neural Computing and Applications, (2020), 32, 2, (391-402), 10.1007/s00521-018-3707-7)
Neural Computing and Applications
-
Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing
Neural Processing Letters, Vol. 52, Núm. 1, pp. 57-74
-
Persistence analysis and prediction of low-visibility events at valladolid airport, Spain
Symmetry, Vol. 12, Núm. 6, pp. 1-18
-
Wind power ramp event detection with a hybrid neuro-evolutionary approach
Neural Computing and Applications, Vol. 32, Núm. 2, pp. 391-402
2019
-
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
-
Machine learning regressors for solar radiation estimation from satellite data
Solar Energy, Vol. 183, pp. 768-775
2018
-
A hybrid ensemble of heterogeneous regressors for wind speed estimation in wind farms
Studies in Computational Intelligence (Springer Verlag), pp. 97-106
-
An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
Applied Energy, Vol. 209, pp. 79-94
-
Bayesian optimization of a hybrid system for robust ocean wave features prediction
Neurocomputing, Vol. 275, pp. 818-828
-
Feature selection in machine learning prediction systems for renewable energy applications
Renewable and Sustainable Energy Reviews, Vol. 90, pp. 728-741
-
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)