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Sancho Salcedo-Sanz

Sancho Salcedo-Sanz

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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
62
Citations
13479
World Ranking
2943
National Ranking
36

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Sancho Salcedo-Sanz is affiliated with the University of Alcalá in Spain. Their research primarily spans the fields of Engineering and Computer Science, with a notable focus on Electrical and Electronic Engineering, Artificial Intelligence, Environmental Engineering, Atmospheric Science, and Civil and Structural Engineering.

Their scholarly contributions emphasize key topics such as Energy Load and Power Forecasting, Solar Radiation and Photovoltaics, Meteorological Phenomena and Simulations, Electric Power System Optimization, Hydrological Forecasting Using AI, Wind and Air Flow Studies, and Climate Variability and Models.

Recent papers authored by or connected to Salcedo-Sanz cover diverse subjects and have appeared in various scientific venues. Notable examples include:

  • "Heat Waves: Physical Understanding and Scientific Challenges" (2023), Reviews of Geophysics
  • "Near real-time wind speed forecast model with bidirectional LSTM networks" (2023), Renewable Energy
  • "Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction" (2022), Measurement
  • "Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results" (2022), Energies
  • "Multi-task learning for the prediction of wind power ramp events with deep neural networks" (2020), Neural Networks

Frequent coauthors collaborating with Salcedo-Sanz include:

  • Jorge Pérez-Aracil
  • David Casillas-Pérez
  • Ravinesh C. Deo
  • S. Jiménez-Fernández
  • César Peláez-Rodríguez

Their work is published predominantly in the following venues:

  • IEEE Access
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Renewable Energy
  • Applied Energy

Best Publications

  • Bio-inspired computation: Where we stand and what's next

    Javier Del Ser;Javier Del Ser;Eneko Osaba;Daniel Molina;Xin-She Yang

  • Survey A survey on applications of the harmony search algorithm

    D. Manjarres;I. Landa-Torres;S. Gil-Lopez;J. Del Ser

  • Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

    Zaher Mundher Yaseen;Ravinesh C. Deo;Ameer Hilal;Abbas M. Abd

  • A Critical Review of Robustness in Power Grids Using Complex Networks Concepts

    Lucas Cuadra;Sancho Salcedo-Sanz;Javier Del Ser;Silvia Jiménez-Fernández

  • Support vector machines in engineering: an overview

    S. Salcedo-Sanz;J. L. Rojo-Álvarez;M. Martínez-Ramón;G. Camps-Valls

  • Short term wind speed prediction based on evolutionary support vector regression algorithms

    Sancho Salcedo-Sanz;Emilio G. Ortiz-Garcıa;Ángel M. Pérez-Bellido;Antonio Portilla-Figueras

  • Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction

    Sancho Salcedo-Sanz;Ángel M. Pérez-Bellido;Emilio G. Ortiz-García;Antonio Portilla-Figueras

  • Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

    Sancho Salcedo-Sanz;Pedram Ghamisi;Maria Piles;Martin Werner

  • 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

  • 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;M. Sánchez-Girón

  • Feature selection in machine learning prediction systems for renewable energy applications

    S. Salcedo-Sanz;L. Cornejo-Bueno;L. Prieto;D. Paredes

  • Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures

    S. Salcedo-Sanz

  • 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

  • A new grouping genetic algorithm for clustering problems

    L.E. Agustin-Blas;S. Salcedo-Sanz;S. Jiménez-Fernández;L. Carro-Calvo

  • Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms

    B. Saavedra-Moreno;S. Salcedo-Sanz;A. Paniagua-Tineo;L. Prieto

  • Survey: A survey of repair methods used as constraint handling techniques in evolutionary algorithms

    Sancho Salcedo-Sanz

  • A Review of Classification Problems and Algorithms in Renewable Energy Applications

    María Pérez-Ortiz;Silvia Jiménez-Fernández;Pedro A. Gutiérrez;Enrique Alexandre

  • Letters: Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks

    Sancho Salcedo-Sanz;Ángel M. Pérez-Bellido;Emilio G. Ortiz-García;Antonio Portilla-Figueras

  • A mixed neural-genetic algorithm for the broadcast scheduling problem

    S. Salcedo-Sanz;C. Bousono-Calzon;A.R. Figueiras-Vidal

  • A novel Grouping Genetic Algorithm–Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs

    A. Aybar-Ruiz;S. Jiménez-Fernández;L. Cornejo-Bueno;C. Casanova-Mateo

  • A hybrid Hopfield network-genetic algorithm approach for the terminal assignment problem

    S. Salcedo-Sanz;Xin Yao

Frequent Co-Authors

Javier Del Ser
Javier Del Ser University of the Basque Country
Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez University of Córdoba
César Hervás-Martínez
César Hervás-Martínez University of Córdoba
Ricardo García-Herrera
Ricardo García-Herrera Complutense University of Madrid
Xin Yao
Xin Yao Lingnan University
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Zong Woo Geem
Zong Woo Geem Gachon University
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
David Camacho
David Camacho Technical University of Madrid

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