Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso
Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso
Full Professor, Data Science & Big Data Lab, Universidad Pablo de Olavide
Dirección de correo verificada de upo.es
Título
Citado por
Citado por
Año
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
2692007
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
2542010
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
1352015
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
892019
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
812010
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
652015
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
652010
Biclustering of gene expression data by correlation-based scatter search
JA Nepomuceno, A Troncoso, JS Aguilar-Ruiz
BioData mining 4 (1), 1-17, 2011
642011
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
622018
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
592015
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
562018
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
542017
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
502003
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, 2011
472011
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
442007
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
442003
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
422013
Peer assessment in MOOCs using preference learning via matrix factorization
J Díez Peláez, Ó Luaces Rodríguez, A Alonso-Betanzos, A Troncoso, ...
NIPS Workshop on Data Driven Education, 2013
402013
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
402008
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
402003
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20