Applications - Weather forecasting
Miembros
Descripción
Aplicación de modelos de clasificación para predecir el viento.
Publicaciones
- Autoencoder-based model for improving reconstruction of heat waves using the analogue method
- Autoencoder-based flow-analogue probabilistic reconstruction of heat waves from pressure fields
- Long-term temperature prediction with hybrid autoencoder algorithms
- 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
- Multilayer Perceptron and Cascade Forward Neural Network for Short-term Tilted Irradiation Estimation in Algerian Sahara
- A novel approach for global solar irradiation forecasting on tilted plane using hybrid evolutionary neural networks
- Short- and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks
- 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
- Prediction of convective clouds formation using evolutionary neural computation techniques
- Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport
- Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida
- Ten Minutes Solar Irradiation Forecasting on Inclined Plane using Evolutionary Product Unit Neural Networks
- Significant wave height and energy flux range forecast with machine learning classifiers
- Ordinal and nominal classification of wind speed from synoptic pressure patterns
- Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns
- Predicción a Corto Plazo de la Velocidad del Viento en Parques Eólicos Mediante Redes Evolutivas de Unidades Producto
