World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4303
World Ranking
12738
National Ranking
238

Overview

Alicia Troncoso is affiliated with Pablo de Olavide University in Spain. Their research portfolio spans several prominent fields including Computer Science with a focus on Artificial Intelligence, Electrical and Electronic Engineering, and Management Science and Operations Research. The scientist's work covers numerous subfields such as Signal Processing and Plant Science, highlighting a multidisciplinary approach in their investigations.

Their main research topics encompass Energy Load and Power Forecasting, Time Series Analysis and Forecasting, Stock Market Forecasting Methods, Data Stream Mining Techniques, Forecasting Techniques and Applications, Anomaly Detection Techniques and Applications, and Solar Radiation and Photovoltaics.

Among the recent papers authored or coauthored by Alicia Troncoso are:

  • Deep Learning for Time Series Forecasting: A Survey (2020) published in Big Data
  • A deep LSTM network for the Spanish electricity consumption forecasting (2022) published in Neural Computing and Applications
  • Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market (2021) published in Energy
  • A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting (2021) published in Information Sciences
  • Initialization Methods for Multiple Seasonal Holt-Winters Forecasting Models (2020) published in Mathematics

Frequent collaborators include:

  • Francisco Martínez-Álvarez
  • G. Asencio-Cortés
  • Laura Melgar-García
  • David Gutiérrez-Avilés
  • M. Martínez-Ballesteros

The scientist frequently publishes in venues such as:

  • SSRN Electronic Journal
  • Neural Computing and Applications
  • Information Sciences
  • Information Fusion
  • Neurocomputing

Alicia Troncoso has contributed to several book publications under major academic publishers. Four titles have appeared with Springer International Publishing, including proceedings from conferences such as the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) and the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). Additional books have been published by Springer Science+Business Media, including Hybrid Artificial Intelligent Systems editions for 2022 and 2023.

Best Publications

  • Deep Learning for Time Series Forecasting: A Survey.

    José F. Torres;Dalil Hadjout;Abderrazak Sebaa;Francisco Martínez-Álvarez

  • Energy Time Series Forecasting Based on Pattern Sequence Similarity

    Francisco Martinez Alvarez;A Troncoso;J C Riquelme;Jesus S Aguilar Ruiz

  • Multi-step forecasting for big data time series based on ensemble learning

    A. Galicia;R. Talavera-Llames;A. Troncoso;I. Koprinska

  • A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting

    Francisco Martínez-Álvarez;Alicia Troncoso;Gualberto Asencio-Cortés;José C. Riquelme

  • Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.

    Francisco Martínez-Álvarez;Gualberto Asencio-Cortés;José F. Torres;David Gutiérrez-Avilés

  • A scalable approach based on deep learning for big data time series forecasting

    J.F. Torres;A. Galicia;A. Troncoso;F. Martínez-Álvarez

  • Pattern recognition to forecast seismic time series

    A. Morales-Esteban;F. Martínez-Álvarez;A. Troncoso;J. L. Justo

  • Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities

    Rubén Pérez-Chacón;José M. Luna-Romera;Alicia Troncoso;Francisco Martínez-Álvarez

  • A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables

    J. García-Gutiérrez;F. Martínez-Álvarez;A. Troncoso;J.C. Riquelme

  • Medium---large earthquake magnitude prediction in Tokyo with artificial neural networks

    G. Asencio-Cortés;F. Martínez-Álvarez;A. Troncoso;A. Morales-Esteban

  • Local models-based regression trees for very short-term wind speed prediction

    A. Troncoso;S. Salcedo-Sanz;C. Casanova-Mateo;J.C. Riquelme

  • Biclustering of Gene Expression Data by Correlation-Based Scatter Search

    Juan A Nepomuceno;Alicia Troncoso;Jesús S Aguilar-Ruiz

  • Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution

    M. Martínez-Ballesteros;A. Troncoso;F. Martínez-Álvarez;J. C. Riquelme

  • Big data solar power forecasting based on deep learning and multiple data sources

    José F. Torres;Alicia Troncoso;Irena Koprinska;Zheng Wang

  • An evolutionary algorithm to discover quantitative association rules in multidimensional time series

    M. Martínez-Ballesteros;F. Martínez-Álvarez;A. Troncoso;J. C. Riquelme

  • Time-Series Clustering Based on the Characterization of Segment Typologies

    David Guijo-Rubio;Antonio Manuel Duran-Rosal;Pedro Antonio Gutierrez;Alicia Troncoso

  • Initialization Methods for Multiple Seasonal Holt–Winters Forecasting Models

    Oscar Trull;Juan Carlos García-Díaz;Alicia Troncoso

  • Big data time series forecasting based on nearest neighbours distributed computing with Spark

    R. Talavera-Llames;R. Pérez-Chacón;A. Troncoso;F. Martínez-Álvarez

  • Deep Learning for Big Data Time Series Forecasting Applied to Solar Power

    José F. Torres;Alicia Troncoso;Irena Koprinska;Zheng Wang

  • Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load

    J. F. Torres;A. M. Fernández;A. Troncoso;F. Martínez-Álvarez

  • Combining pattern sequence similarity with neural networks for forecasting electricity demand time series

    Irena Koprinska;Mashud Rana;Alicia Troncoso;Francisco Martinez-Alvarez

Frequent Co-Authors

Francisco Martínez-Álvarez
Francisco Martínez-Álvarez Pablo de Olavide University
José C. Riquelme
José C. Riquelme University of Seville
Amparo Alonso-Betanzos
Amparo Alonso-Betanzos University of A Coruña
Mikel Galar
Mikel Galar Universidad Publica De Navarra
Emilio Corchado
Emilio Corchado University of Salamanca
Edurne Barrenechea
Edurne Barrenechea Universidad Publica De Navarra
César Hervás-Martínez
César Hervás-Martínez University of Córdoba
Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez University of Córdoba
Sancho Salcedo-Sanz
Sancho Salcedo-Sanz University of Alcalá
Vassilios G. Agelidis
Vassilios G. Agelidis Democritus University of Thrace

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