Alicia Troncoso (ORCID: 0000-0002-9801-7999)
Alicia Troncoso (ORCID: 0000-0002-9801-7999)
Full Professor, Data Science & Big Data Lab, Universidad Pablo de Olavide
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Cited by
Cited by
Electricity market price forecasting based on weighted nearest neighbors techniques
AT Lora, JMR Santos, AG Expósito, JLM Ramos, JCR Santos
IEEE Transactions on Power Systems 22 (3), 1294-1301, 2007
Energy time series forecasting based on pattern sequence similarity
FM Alvarez, A Troncoso, JC Riquelme, JSA Ruiz
IEEE Transactions on Knowledge and Data Engineering 23 (8), 1230-1243, 2010
A survey on data mining techniques applied to electricity-related time series forecasting
F Martínez-Álvarez, A Troncoso, G Asencio-Cortés, JC Riquelme
Energies 8 (11), 13162-13193, 2015
Multi-step forecasting for big data time series based on ensemble learning
A Galicia, R Talavera-Llames, A Troncoso, I Koprinska, ...
Knowledge-Based Systems 163, 830-841, 2019
Deep learning for time series forecasting: a survey
JF Torres, D Hadjout, A Sebaa, F Martínez-Álvarez, A Troncoso
Big Data 9 (1), 3-21, 2021
A scalable approach based on deep learning for big data time series forecasting
JF Torres, A Galicia, A Troncoso, F Martínez-Álvarez
Integrated Computer-Aided Engineering 25 (4), 335-348, 2018
Pattern recognition to forecast seismic time series
A Morales-Esteban, F Martínez-Álvarez, A Troncoso, JL Justo, ...
Expert systems with applications 37 (12), 8333-8342, 2010
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
J García-Gutiérrez, F Martínez-Álvarez, A Troncoso, JC Riquelme
Neurocomputing 167, 24-31, 2015
Big data analytics for discovering electricity consumption patterns in smart cities
R Pérez-Chacón, JM Luna-Romera, A Troncoso, F Martínez-Álvarez, ...
Energies 11 (3), 683, 2018
Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks
G Asencio-Cortés, F Martínez-Álvarez, A Troncoso, A Morales-Esteban
Neural Computing and Applications 28 (5), 1043-1055, 2017
Coronavirus optimization algorithm: a bioinspired metaheuristic based on the COVID-19 propagation model
F Martínez-Álvarez, G Asencio-Cortés, JF Torres, D Gutiérrez-Avilés, ...
Big Data 8 (4), 308-322, 2020
Biclustering of gene expression data by correlation-based scatter search
JA Nepomuceno, A Troncoso, JS Aguilar-Ruiz
BioData mining 4 (1), 1-17, 2011
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
M Martínez-Ballesteros, A Troncoso, F Martínez-Álvarez, JC Riquelme
Integrated Computer-Aided Engineering 17 (3), 227-242, 2010
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
Time-series prediction: Application to the short-term electric energy demand
A Troncoso Lora, JM Riquelme Santos, JC Riquelme, A Gómez Expósito, ...
Conference on Technology Transfer, 577-586, 2003
An evolutionary algorithm to discover quantitative association rules in multidimensional time series
M Martínez-Ballesteros, F Martínez-Álvarez, A Troncoso, JC Riquelme
Soft Computing 15 (10), 2065-2084, 2011
Finding improved local minima of power system optimization problems by interior-point methods
JR Santos, AT Lora, AG Expósito, JLM Ramos
IEEE transactions on power systems 18 (1), 238-244, 2003
LBF: A labeled-based forecasting algorithm and its application to electricity price time series
F Martínez–Álvarez, A Troncoso, JC Riquelme, JS Aguilar–Ruiz
2008 Eighth IEEE International Conference on Data Mining, 453-461, 2008
Partitioning-clustering techniques applied to the electricity price time series
F Martínez-Álvarez, A Troncoso, JC Riquelme, JM Riquelme
International Conference on Intelligent Data Engineering and Automated …, 2007
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series
I Koprinska, M Rana, A Troncoso, F Martínez-Álvarez
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
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