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sancho-salcedo-sanz
Salcedo-Sanz, Sancho
Información Personal
Posición:
Profesor Titular de Universidad
Áreas de investigación:
Sin Categoría
Publicaciones
Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm
Data Augmentation Techniques for Extreme Wind Prediction Improvement
A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic
One month in advance prediction of air temperature from Reanalysis data with Explainable Artificial Intelligence techniques
Machine learning regression and classification methods for fog events prediction
Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing
Evolutionary artificial neural networks for accurate solar radiation prediction
Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques
Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport
Multi-task learning for the prediction of wind power ramp events with deep neural networks
Prediction of convective clouds formation using evolutionary neural computation techniques
Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation
Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm
Efficient Fog Prediction with Multi-objective Evolutionary Neural Networks
A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series
Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida
Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas
An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series
Wind power ramp events ordinal prediction using minimum complexity echo state networks
Prediction of low-visibility events due to fog using ordinal classification
A mixture of experts model for predicting persistent weather patterns
Robust estimation of wind power ramp events with reservoir computing
A coral reef optimization algorithm for wave height time series segmentation problems
Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction
A review of classification problems and algorithms in renewable energy applications
Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines
Significant wave height and energy flux range forecast with machine learning classifiers
Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier
Ordinal and nominal classification of wind speed from synoptic pressure patterns
Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms
Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns
GRUPO DE INVESTIGACIÓN TIC-148
Predicción a Corto Plazo de la Velocidad del Viento en Parques Eólicos Mediante Redes Evolutivas de Unidades Producto
Generalized logistic regression models using neural network basis functions applied to the detection of banking crises
Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises
Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction
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Proyectos
Mapas (Máquinas de apredizaje para problemas y aplicaciones singulares)
Diversificación avanzada de máquinas de aprendizaje (Red DAMA)
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