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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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
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 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
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
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
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
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
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
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
Time-series prediction: Application to the short-term electric energy demand
AT Lora, JMR Santos, JC Riquelme, AG Expósito, JLM Ramos
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
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
Influence of kNN-based load forecasting errors on optimal energy production
AT Lora, JC Riquelme, JLM Ramos, JMR Santos, AG Expósito
Portuguese Conference on Artificial Intelligence, 189-203, 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
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