Luis Prieto Godino
Luis Prieto Godino
Iberdrola Renovables Energía
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Cited by
Cited by
Short term wind speed prediction based on evolutionary support vector regression algorithms
S Salcedo-Sanz, EG Ortiz-Garcı, ÁM Pérez-Bellido, A Portilla-Figueras, ...
Expert Systems with Applications 38 (4), 4052-4057, 2011
Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction
S Salcedo-Sanz, ÁM Pérez-Bellido, EG Ortiz-García, A Portilla-Figueras, ...
Renewable Energy 34 (6), 1451-1457, 2009
Mortality impact of extreme winter temperatures
J Díaz, R García, C López, C Linares, A Tobías, L Prieto
International Journal of Biometeorology 49, 179-183, 2005
Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization–Extreme learning machine approach
S Salcedo-Sanz, A Pastor-Sánchez, L Prieto, A Blanco-Aguilera, ...
Energy Conversion and Management 87, 10-18, 2014
Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms
B Saavedra-Moreno, S Salcedo-Sanz, A Paniagua-Tineo, L Prieto, ...
Renewable Energy 36 (11), 2838-2844, 2011
Feature selection in machine learning prediction systems for renewable energy applications
S Salcedo-Sanz, L Cornejo-Bueno, L Prieto, D Paredes, R García-Herrera
Renewable and Sustainable Energy Reviews 90, 728-741, 2018
Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks
S Salcedo-Sanz, AM Perez-Bellido, EG Ortiz-García, A Portilla-Figueras, ...
Neurocomputing 72 (4-6), 1336-1341, 2009
Offshore wind farm design with the coral reefs optimization algorithm
S Salcedo-Sanz, D Gallo-Marazuela, A Pastor-Sánchez, L Carro-Calvo, ...
Renewable Energy 63, 109-115, 2014
Local models-based regression trees for very short-term wind speed prediction
A Troncoso, S Salcedo-Sanz, C Casanova-Mateo, JC Riquelme, L Prieto
Renewable energy 81, 589-598, 2015
Minimum extreme temperatures over Peninsular Spain
L Prieto, RG Herrera, J Díaz, E Hernández, T del Teso
Global and Planetary Change 44 (1-4), 59-71, 2004
A coral reefs optimization algorithm with harmony search operators for accurate wind speed prediction
S Salcedo-Sanz, A Pastor-Sánchez, J Del Ser, L Prieto, ZW Geem
Renewable Energy 75, 93-101, 2015
Prediction of hourly O3 concentrations using support vector regression algorithms
EG Ortiz-García, S Salcedo-Sanz, ÁM Pérez-Bellido, JA Portilla-Figueras, ...
Atmospheric Environment 44 (35), 4481-4488, 2010
Multi-task learning for the prediction of wind power ramp events with deep neural networks
M Dorado-Moreno, N Navarin, PA Gutiérrez, L Prieto, A Sperduti, ...
Neural Networks 123, 401-411, 2020
Short‐term wind speed prediction in wind farms based on banks of support vector machines
EG Ortiz‐García, S Salcedo‐Sanz, ÁM Pérez‐Bellido, J Gascón‐Moreno, ...
Wind Energy 14 (2), 193-207, 2011
A long‐term perspective of wind power output variability
N Kirchner‐Bossi, R García‐Herrera, L Prieto, RM Trigo
International Journal of Climatology 35 (9), 2635-2646, 2015
Short-term wind speed prediction by hybridizing global and mesoscale forecasting models with artificial neural networks
SS Sanz, A Perez-Bellido, E Ortiz-Garcia, A Portilla-Figueras, L Prieto, ...
2008 Eighth International Conference on Hybrid Intelligent Systems, 608-612, 2008
Evolutionary computation approaches for real offshore wind farm layout: A case study in northern Europe
S Salcedo-Sanz, D Gallo-Marazuela, A Pastor-Sánchez, L Carro-Calvo, ...
Expert Systems with Applications 40 (16), 6292-6297, 2013
A parallel CFD model for wind farms
M Avila, A Folch, G Houzeaux, B Eguzkitza, L Prieto, D Cabezón
Procedia Computer Science 18, 2157-2166, 2013
Synoptic conditions leading to extremely high temperatures in Madrid
R García, L Prieto, J Díaz, E Hernández, T Del Teso
Annales Geophysicae 20 (2), 237-245, 2002
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
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