Sancho Salcedo-Sanz

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Antonio Portilla-FiguerasCatedrático de Universidad (Full Professor), Universidad de AlcaláE-mail confirmado em uah.es
Silvia Jiménez-FernándezAssociate Professor of Signal Theory and Communications at Universidad de AlcaláE-mail confirmado em uah.es
Luis Prieto GodinoIberdrola Renovables EnergíaE-mail confirmado em iberdrola.es
Professor Ravinesh Deo, Highly Cited...Full Professor in Mathematics and Researcher in Artificial Intelligence and Machine LearningE-mail confirmado em usq.edu.au
Laura Cornejo-BuenoAssistant Professor, University of AlcaláE-mail confirmado em uah.es
David Casillas PérezAssistant Professor, Universidad Rey Juan CarlosE-mail confirmado em urjc.es
Pedro Antonio GutiérrezFull Professor of Computer Science, University of Córdoba (Spain)E-mail confirmado em uco.es
César Hervás MartínezUniversity of Córdoba, Full ProfessorE-mail confirmado em uco.es
Lucas Cuadra, PhDUniversity of Alcalá, ProfessorE-mail confirmado em uah.es
C. Camacho-GómezDoctor en TIC, Universidad Politécnica de MadridE-mail confirmado em upm.es
Jorge Pérez-AracilUniversidad de AlcaláE-mail confirmado em uah.es
RICARDO GARCIA-HERRERAUniversidad Complutense de Madrid; IGEO (CSIC-UCM)E-mail confirmado em ucm.es
Enrique AlexandreAssociate Professor, Universidad de AlcaláE-mail confirmado em uah.es
César Peláez-RodríguezUniversidad de AlcaláE-mail confirmado em uah.es
David CamachoUniversidad Politécnica de MadridE-mail confirmado em upm.es
Antonio J. CaamañoProfessor, Rey Juan Carlos UniversityE-mail confirmado em urjc.es
Sara Cornejo-BuenoPhD, Universidad Rey Juan CarlosE-mail confirmado em urjc.es
Cosmin M. MarinaPhD Student, Universidad de AlcaláE-mail confirmado em uah.es
Eugenio Lorente RamosPhD student, Universidad de AlcaláE-mail confirmado em uah.es
Xin YaoLingnan University (Hong Kong) and University of Birmingham (UK)

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Sancho Salcedo-Sanz

Catedrático de Teoría de la Señal, Universidad de Alcalá

E-mail confirmado em uah.es - Página inicial

Computational Intelligence Machine Learning Atmospheric Physics Renewable Energy


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Bio-inspired computation: Where we stand and what's next J Del Ser, E Osaba, D Molina, XS Yang, S Salcedo-Sanz, D Camacho, ... Swarm and Evolutionary Computation 48, 220-250, 2019	586	2019
A survey on applications of the harmony search algorithm D Manjarres, I Landa-Torres, S Gil-Lopez, J Del Ser, MN Bilbao, ... Engineering Applications of Artificial Intelligence 26 (8), 1818-1831, 2013	451	2013
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model ZM Yaseen, RC Deo, A Hilal, AM Abd, LC Bueno, S Salcedo-Sanz, ... Advances in Engineering Software 115, 112-125, 2018	413	2018
A critical review of robustness in power grids using complex networks concepts L Cuadra, S Salcedo-Sanz, J Del Ser, S Jiménez-Fernández, ZW Geem Energies 8 (9), 9211-9265, 2015	296	2015
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	266	2011
Support vector machines in engineering: an overview S Salcedo‐Sanz, JL Rojo‐Álvarez, M Martínez‐Ramón, G Camps‐Valls Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (3 …, 2014	241	2014
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	241	2009
The coral reefs optimization algorithm: a novel metaheuristic for efficiently solving optimization problems S Salcedo-Sanz, J Del Ser, I Landa-Torres, S Gil-López, ... The Scientific World Journal 2014, 2014	240	2014
Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization–Extreme Learning Machine approach S Salcedo-Sanz, C Casanova-Mateo, A Pastor-Sánchez, ... Solar Energy 105, 91-98, 2014	201	2014
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources S Salcedo-Sanz, P Ghamisi, M Piles, M Werner, L Cuadra, ... Information Fusion 63, 256-272, 2020	193	2020
Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures S Salcedo-Sanz Physics Reports 655, 1-70, 2016	186	2016
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	180	2018
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	172	2014
A new grouping genetic algorithm for clustering problems LE Agustı, S Salcedo-Sanz, S Jiménez-Fernández, L Carro-Calvo, ... Expert Systems with Applications 39 (10), 9695-9703, 2012	171	2012
A survey of repair methods used as constraint handling techniques in evolutionary algorithms S Salcedo-Sanz Computer science review 3 (3), 175-192, 2009	162	2009
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	161	2011
A review of classification problems and algorithms in renewable energy applications M Pérez-Ortiz, S Jiménez-Fernández, PA Gutiérrez, E Alexandre, ... Energies 9 (8), 607, 2016	155	2016
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	133	2009
Machine learning regressors for solar radiation estimation from satellite data L Cornejo-Bueno, C Casanova-Mateo, J Sanz-Justo, S Salcedo-Sanz Solar Energy 183, 768-775, 2019	131	2019
A mixed neural-genetic algorithm for the broadcast scheduling problem S Salcedo-Sanz, C Bousoño-Calzón, AR Figueiras-Vidal IEEE Transactions on Wireless Communications 2 (2), 277-283, 2003	129	2003

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