Sancho Salcedo-Sanz

Sancho Salcedo-Sanz

Universidad de Alcalá

H-index: 53

Europe-Spain

About Sancho Salcedo-Sanz

Sancho Salcedo-Sanz, With an exceptional h-index of 53 and a recent h-index of 41 (since 2020), a distinguished researcher at Universidad de Alcalá, specializes in the field of Computational Intelligence, Machine Learning, Atmospheric Physics, Renewable Energy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model

Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting

An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression

Evolving interpretable decision trees for reinforcement learning

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model

Electricity demand error corrections with attention bi-directional neural networks

Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review

Improving the prediction of extreme wind speed events with generative data augmentation techniques

Sancho Salcedo-Sanz Information

University

Position

Catedrático de Universidad (Full Professor)

Citations(all)

11479

Citations(since 2020)

6831

Cited By

7179

hIndex(all)

53

hIndex(since 2020)

41

i10Index(all)

212

i10Index(since 2020)

140

Email

University Profile Page

Universidad de Alcalá

Google Scholar

View Google Scholar Profile

Sancho Salcedo-Sanz Skills & Research Interests

Computational Intelligence

Machine Learning

Atmospheric Physics

Renewable Energy

Top articles of Sancho Salcedo-Sanz

Title

Journal

Author(s)

Publication Date

Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model

Applied Energy

Lionel P Joseph

Ravinesh C Deo

David Casillas-Pérez

Ramendra Prasad

Nawin Raj

...

2024/4/1

Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting

Applied Energy

Sujan Ghimire

Ravinesh C Deo

David Casillas-Pérez

Sancho Salcedo-Sanz

2024/1/1

An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression

Computer Methods and Programs in Biomedicine

C Peláez-Rodríguez

R Torres-López

J Pérez-Aracil

N López-Laguna

S Sánchez-Rodríguez

...

2024/3/1

Evolving interpretable decision trees for reinforcement learning

Artificial Intelligence

Vinícius G Costa

Jorge Pérez-Aracil

Sancho Salcedo-Sanz

Carlos E Pedreira

2024/2/1

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model

Engineering Applications of Artificial Intelligence

Sujan Ghimire

Ravinesh C Deo

David Casillas-Pérez

Sancho Salcedo-Sanz

S Ali Pourmousavi

...

2024/6/1

Electricity demand error corrections with attention bi-directional neural networks

Energy

Sujan Ghimire

Ravinesh C Deo

David Casillas-Pérez

Sancho Salcedo-Sanz

2024/3/15

Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review

Sancho Salcedo-Sanz

Jorge Pérez-Aracil

Guido Ascenso

Javier Del Ser

David Casillas-Pérez

...

2024/1

Improving the prediction of extreme wind speed events with generative data augmentation techniques

Renewable Energy

M Vega-Bayo

J Pérez-Aracil

L Prieto-Godino

S Salcedo-Sanz

2024/2/1

NarmViz: A novel method for visualization of time series numerical association rules for smart agriculture

Expert Systems

Iztok Fister Jr

Iztok Fister

Vili Podgorelec

Sancho Salcedo‐Sanz

Andreas Holzinger

2024/3

End-to-end learning of adaptive coded modulation schemes for resilient wireless communications

Applied Soft Computing

Christopher P Davey

Ismail Shakeel

Ravinesh C Deo

Ekta Sharma

Sancho Salcedo-Sanz

...

2024/4/26

A Spatio-Temporal Optimization-Based Feature Selection Framework for detecting drivers of heatwaves

César Peláez-Rodríguez

Jorge Pérez-Aracil

Ronan McAdam

Antonello Squintu

Enrico Scoccimarro

...

2024/3/7

Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches

Expert Systems with Applications

César Peláez-Rodríguez

Jorge Pérez-Aracil

Dušan Fister

Ricardo Torres-López

Sancho Salcedo-Sanz

2024/3

Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model

Expert Systems with Applications

S. S. Prasad

R. C. Deo

N. J. Downs

D. Casillas-Pérez

S. Salcedo-Sanz

...

2024/2

Multi-step-ahead wind speed forecast system: Hybrid multivariate decomposition and feature selection-based gated additive tree ensemble model

IEEE Access

Lionel P Joseph

Ravinesh C Deo

David Casillas-Perez

Ramendra Prasad

Nawin Raj

...

2024/4/24

Autoencoder-based model for improving reconstruction of heat waves using the analogue method

Jorge Pérez-Aracil

Cosmin M Marina

Pedro Gutiérrez

David Barriopedro

Ricardo García-Herrera

...

2024/3/7

Efficient evolution of decision trees via fully matrix-based fitness evaluation

Applied Soft Computing

Vinícius G Costa

Sancho Salcedo-Sanz

Carlos E Pedreira

2024/1/1

A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system

Computers & Operations Research

Luis M Moreno-Saavedra

Silvia Jiménez-Fernández

José A Portilla-Figueras

David Casillas-Perez

Sancho Salcedo-Sanz

2024/3/1

Machine learning as alternative strategy for the numerical prediction of the shear response in reinforced and prestressed concrete beams

Results in Engineering

AM Hernández-Díaz

J Pérez-Aracil

E Lorente-Ramos

CM Marina

C Peláez-Rodríguez

...

2024/4/17

CoSeNet: A Novel Approach for Optimal Segmentation of Correlation Matrices

Digital Signal Processing

Alberto Palomo-Alonso

David Casillas-Pérez

Silvia Jiménez-Fernández

A Portilla-Figueras

Sancho Salcedo-Sanz

2024/1/1

A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

Knowledge-Based Systems

C Peláez-Rodríguez

J Pérez-Aracil

CM Marina

L Prieto-Godino

C Casanova-Mateo

...

2024/3/1

See List of Professors in Sancho Salcedo-Sanz University(Universidad de Alcalá)

Co-Authors

H-index: 122
Xin Yao

Xin Yao

University of Birmingham

H-index: 69
Professor Ravinesh Deo, Highly Cited Researcher 2021 - Clarivate Web of Science

Professor Ravinesh Deo, Highly Cited Researcher 2021 - Clarivate Web of Science

University of Southern Queensland

H-index: 54
RICARDO GARCIA-HERRERA

RICARDO GARCIA-HERRERA

Universidad Complutense de Madrid

H-index: 49
César Hervás Martínez

César Hervás Martínez

Universidad de Córdoba

H-index: 42
David Camacho

David Camacho

Universidad Politécnica de Madrid

H-index: 35
Pedro Antonio Gutiérrez

Pedro Antonio Gutiérrez

Universidad de Córdoba

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