‪Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso‬

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	5773	3819
h-индекс	41	29
i10-индекс	90	76

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Публичен достъп

Преглед на всички

70 статии

30 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Francisco Martínez-ÁlvarezFull Professor, Data Science & Big Data Lab, Pablo de Olavide University of Seville, SpainПотвърден имейл адрес: upo.es
José C. RiquelmeUniversidad de SevillaПотвърден имейл адрес: us.es
José Francisco Torres MaldonadoData Science & Big Data Lab, Pablo de Olavide UniversityПотвърден имейл адрес: upo.es
Gualberto Asencio-Cortés, Ph.D. (000...Universidad Pablo de Olavide, Sevilla, EspañaПотвърден имейл адрес: upo.es
Jesus S. Aguilar-RuizFull Professor, Data Analytics Science & Engineering, Universidad Pablo de Olavide, Sevilla, EspañaПотвърден имейл адрес: upo.es
María Martínez BallesterosUniversidad de SevillaПотвърден имейл адрес: us.es
David Gutiérrez-AvilésUniversidad de SevillaПотвърден имейл адрес: us.es
Cristina Rubio-EscuderoSenior Lecturer, University of SevillaПотвърден имейл адрес: us.es
Antonio Gomez-ExpositoProfessor of Electrical Engineering, Universidad de SevillaПотвърден имейл адрес: us.es
Laura Melgar-GarcíaUniversidad Politécnica de MadridПотвърден имейл адрес: upm.es
Jose Luis Martinez RamosUniversidad de SevillaПотвърден имейл адрес: us.es
Juan A. NepomucenoUniversidad de SevillaПотвърден имейл адрес: us.es
Rubén Pérez ChacónAssistant ProfessorПотвърден имейл адрес: upo.es
Irena KoprinskaSchool of Computer Science, University of SydneyПотвърден имейл адрес: sydney.edu.au
Antonio Morales-EstebanUniversity of SevilleПотвърден имейл адрес: us.es
Oscar LuacesArtificial Intelligence Center (University of Oviedo)Потвърден имейл адрес: uniovi.es
Ricardo L. Talavera-Llames (0000-00...Universidad Pablo de Olavide, Sevilla, España.Потвърден имейл адрес: upo.es
Jesus RiquelmeUniversity SevillaПотвърден имейл адрес: us.es
Antonio BahamondeUniversidad de OviedoПотвърден имейл адрес: uniovi.es
Amparo Alonso-BetanzosCatedrática de Computación, CITIC (UDC)Потвърден имейл адрес: udc.es

Следене

Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso

Full Professor, Data Science & Big Data Lab, Universidad Pablo de Olavide

Потвърден имейл адрес: upo.es - Начална страница

Deep Learning Time Series Forecasting Energy Forecasting Explainability Data Mining


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	681	2021
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	338	2010
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	314	2007
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	259	2019
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	224	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	165	2020
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	135	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	124	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	119	2015
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	117	2010
A deep LSTM network for the Spanish electricity consumption forecasting JF Torres, F Martínez-Álvarez, A Troncoso Neural Computing and Applications 34 (13), 10533-10545, 2022	106	2022
Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks G Asencio-Cortes, F Martínez-Álvarez, A Troncoso, A Morales-Esteban Neural Computing and Applications 28, 1043-1055, 2017	106	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	101	2015
Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market D Hadjout, JF Torres, A Troncoso, A Sebaa, F Martínez-Álvarez Energy 243, 123060, 2022	88	2022
Biclustering of gene expression data by correlation-based scatter search JA Nepomuceno, A Troncoso, JS Aguilar-Ruiz BioData mining 4, 1-17, 2011	80	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	79	2010
Time-series clustering based on the characterization of segment typologies D Guijo-Rubio, AM Durán-Rosal, PA Gutiérrez, A Troncoso, ... IEEE transactions on cybernetics 51 (11), 5409-5422, 2020	76	2020
A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting MA Castán-Lascorz, P Jiménez-Herrera, A Troncoso, G Asencio-Cortés Information Sciences 586, 611-627, 2022	72	2022
Big data solar power forecasting based on deep learning and multiple data sources JF Torres, A Troncoso, I Koprinska, Z Wang, F Martínez‐Álvarez Expert Systems 36 (4), e12394, 2019	72	2019
Deep learning-based approach for time series forecasting with application to electricity load JF Torres, AM Fernández, A Troncoso, F Martínez-Álvarez Biomedical Applications Based on Natural and Artificial Computing …, 2017	62	2017

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