Publications

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2024

D. Gutiérrez-Avilés and J. F. Torres and F. Martínez-Álvarez and J. Cugliari

An evolutionary triclustering approach to discover electricity consumption patterns in France (Conference)

SAC 39th Annual ACM Symposium on Applied Computing, 2024.

(Abstract | BibTeX | Tags: clustering, energy, time series)

R. Pérez-Chacón and G. Asencio-Cortés and A. Troncoso and F. Martínez-Álvarez

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption (Journal Article)

Future Generation Computer Systems, 154 , pp. 397-412, 2024.

(Abstract | Links | BibTeX | Tags: big data, energy, forecasting, time series)

2023

D. Hadjout and A. Sebaa and J. F. Torres and F. Mártinez-Álvarez

Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market (Journal Article)

Expert Systems with Applications, 227 , pp. 120123, 2023.

(Abstract | Links | BibTeX | Tags: clustering, deep learning, energy, time series)

D. Azzouguer and A. Sebaa and D. Hadjout and F. Martínez-Álvarez

Fraud Detection of Electricity Consumption using Robust Exponential and Holt-Winters Smoothing method (Conference)

IEEE International Conference on Advanced Systems and Emergent Technologies, 2023.

(Abstract | Links | BibTeX | Tags: energy, time series)

P. Jiménez-Herrera and L. Melgar-García and G. Asencio-Cortés and A. Troncoso

Streaming big time series forecasting based on nearest similar patterns with application to energy consumption (Journal Article)

Logic Journal of the IGPL, 31 (2), pp. 255-270, 2023.

(Abstract | Links | BibTeX | Tags: energy, IoT, time series)

L. Melgar-García and D. Gutiérrez-Avilés and C. Rubio-Escudero and A.Troncoso

Identifying novelties and anomalies for incremental learning in streaming time series forecasting (Journal Article)

Engineering Applications of Artificial Intelligence, 123 , pp. 106326, 2023.

(Links | BibTeX | Tags: energy, IoT, time series)

L. Melgar-García and D. Gutiérrez-Avilés and C. Rubio-Escudero and A. Troncoso

A novel distributed forecasting method based on information fusion and incremental learning for streaming time series (Journal Article)

Information Fusion, 95 , pp. 163-173, 2023.

(Links | BibTeX | Tags: energy, IoT, time series)

E. Tefera and A. Troncoso and M. Martínez Ballesteros and F. Martínez-Álvarez

A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia (Conference)

HAIS 18th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2023.

(BibTeX | Tags: deep learning, energy, time series)

2022

D. Hadjout and J. F. Torres and A. Troncoso and A. Sebaa and F. Martínez-Álvarez

Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market (Journal Article)

Energy, 243 , pp. 123060, 2022.

(Abstract | Links | BibTeX | Tags: deep learning, energy, time series)

J. F. Torres and F. Martínez-Álvarez and A. Troncoso

A deep LSTM network for the Spanish electricity consumption forecasting (Journal Article)

Neural Computing and Applications, 34 , pp. 10533-10545, 2022.

(Abstract | Links | BibTeX | Tags: deep learning, energy)

M.A. Castán-Lascorz and P. Jiménez-Herrera and A. Troncoso and G. Asencio-Cortés

A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting (Journal Article)

Information Sciences, 586 , pp. 611–627, 2022.

(Abstract | Links | BibTeX | Tags: energy, pattern recognition, time series)

G. Velázquez and F. Morales and M. García-Torres and F. Gómez-Vela and F. Divina and J.L. Vázquez Noguera and F. Daumas-Ladouce and C. Ayala and D. Pinto-Roaand P. Gardel-Sotomayor

Distribution level Electric current consumption and meteorological data set of the East region of Paraguay (Journal Article)

Data in Brief, 40 , pp. 107699, 2022.

(Abstract | Links | BibTeX | Tags: energy, time series)

J. A. Gallardo-Gómez and F. Divina and A. Troncoso and F. Martínez-Álvarez

Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem (Conference)

SOCO 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2022.

(Links | BibTeX | Tags: big data, energy, time series)

F. Morales and M. García-Torres and G. Velázquez and F. Daumas-Ladouce and P. Gardel-Sotomayor and F. Gómez-Vela and F. Divina and J. L. Vázquez Noguera and C. Sauer Ayala and D. Pinto-Roa

Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study (Journal Article)

Electronics, 11 (2), pp. 267, 2022.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

E. T. Habtermariam and K. Kekeba and A. Troncoso and F. Martínez-Álvarez

A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia (Conference)

SOCO 17th International Conference on Soft Computing Models in Industrial and Environmental Applications , 531 , Lecture Notes in Networks and Systems 2022.

(Links | BibTeX | Tags: deep learning, energy, pattern recognition, time series)

L. Melgar-García and D. Gutiérrez-Avilés and C. Rubio-Escudero and A. Troncoso

Nearest neighbors with incremental learning for real-time forecasting of electricity demand (Conference)

IEEE International Conference on Data Mining Workshops, 2022.

(Links | BibTeX | Tags: energy, IoT, time series)

2021

A. Melara and J. F. Torres and A. Troncoso and F. Martínez-Álvarez

Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning (Conference)

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

(Links | BibTeX | Tags: deep learning, energy, time series)

D. Hadjout and J. F. Torres and A. Sebaa and F. Martínez-Álvarez

Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods (Conference)

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

(Links | BibTeX | Tags: deep learning, energy, time series)

F. Divina and F. Gómez-Vela and M. García-Torres

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast (Journal Article)

Applied Sciences, 11 (3), pp. 1261, 2021.

(Links | BibTeX | Tags: energy)

J. A. Gallardo and M. García-Torres and F. Gómez-Vela and F. Morales and F. Divina and D. Becerra-Alonso and G. Velázquez and F. Daumas-Ladouce and J. L. Vázquez Noguera and C. Ayala Sauer

Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach (Conference)

SOCO 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

(Links | BibTeX | Tags: big data, energy, time series)

2020

P. Jiménez-Herrera and L. Melgar-García and G. Asencio-Cortés and A. Troncoso

A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series (Conference)

HAIS 15th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2020.

(Links | BibTeX | Tags: big data, energy, IoT, time series)

Y. Lin and I. Koprinska and M. Rana and A. Troncoso

Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning (Conference)

ICANN 29th International Conference on Artificial Neural Networks, Lecture Notes in Computer Science 2020.

(Links | BibTeX | Tags: energy, time series)

F. Divina and J. F. Torres and M. García-Torres and F. Martínez-Álvarez and A. Troncoso

Hybridizing deep learning and neuroevolution: Application to the Spanish short-term electric energy consumption forecasting (Journal Article)

Applied Sciences, 10 (16), pp. 5487, 2020.

(Abstract | Links | BibTeX | Tags: big data, deep learning, energy, time series)

F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and A. Troncoso and J. C. Riquelme

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model (Journal Article)

Big Data, 8 (4), pp. 308-322, 2020.

(Abstract | Links | BibTeX | Tags: big data, deep learning, energy, time series)

R. Pérez-Chacón and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso

Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand (Journal Article)

Information Sciences, 540 , pp. 160-174, 2020.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

M. Nazeriye and A. Haeri and F. Martínez-Álvarez

Analysis of the Impact of Residential Property and Equipment on Building Energy Efficiency and Consumption - A Data Mining Approach (Journal Article)

Applied Sciences, 10 (10), pp. 3589, 2020.

(Abstract | Links | BibTeX | Tags: energy, time series)

Ó. Trull and J.C. García-Díaz and A. Troncoso

Initialization methods for multiple seasonal Holt–Winters forecasting models (Journal Article)

Mathematics, 8 (2), pp. 268, 2020.

(Links | BibTeX | Tags: energy, time series)

Óscar Trull and J. Carlos García-Díaz and A. Troncoso

Stability of Multiple Seasonal Holt-Winters Models Applied to Hourly Electricity Demand in Spain (Journal Article)

Applied Sciences, 10 (7), pp. 2630, 2020.

(Links | BibTeX | Tags: energy, time series)

2019

C. Gómez-Quiles and G. Asencio-Cortés and A. Gastalver-Rubio and F. Martínez-Álvarez and A. Troncoso and J. Manresa and J. C. Riquelme and J. M. Riquelme

A novel ensemble method for electric vehicle power consumption forecasting: application to the Spanish system (Journal Article)

IEEE Access, 7 , pp. 120840-120856, 2019.

(Links | BibTeX | Tags: energy, time series)

J. F. Torres and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

Random Hyper-Parameter Search-Based Deep Neural Network for Power Consumption Forecasting (Conference)

IWANN 15th International Work-Conference on Artificial Neural Networks, 11506 , Lecture Notes in Computer Science 2019.

(Links | BibTeX | Tags: deep learning, energy, time series)

J. F. Torres and A. Troncoso and I. Koprinska and Z. Wang and F. Martínez-Álvarez

Big data solar power forecasting based on deep learning and multiple data sources (Journal Article)

Expert Systems, 36 , pp. id12394, 2019.

(Links | BibTeX | Tags: deep learning, energy, time series)

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

MV-kWNN: A novel multivariate and multi-output weighted nearest neighbors algorithm for big data time series forecasting (Journal Article)

Neurocomputing, 353 , pp. 56-73, 2019.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

F. Martinez-Alvarez and A. Schmutz and G. Asencio-Cortes and J. Jacques

A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand (Journal Article)

Energies, 12 (94), pp. 1-18, 2019, ISSN: 1996-1073.

(Abstract | Links | BibTeX | Tags: energy, time series)

Y. Lin and I. Koprinska and M. Rana and A. Troncoso

Pattern Sequence Neural Network for Solar Power Forecasting (Conference)

ICONIP 26th International Conference on Neural Information Processing, 2019.

(BibTeX | Tags: energy, time series)

Ó. Trull and J. C. García-Díaz and A. Troncoso

Application of Discrete-Interval Moving Seasonalities to Spanish Electricity Demand Forecasting during Easter (Journal Article)

Energies, 12 (6), pp. 1083, 2019.

(Abstract | Links | BibTeX | Tags: energy, time series)

F. Divina and M. García-Torres and F. Goméz-Vela and J.L. Vázquez Noguera

A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings (Journal Article)

Applied Sciences, 12 (10), pp. 1934, 2019.

(Abstract | Links | BibTeX | Tags: energy, time series)

2018

R. Pérez-Chacón and J. M. Luna and A. Troncoso and F. Martínez-Álvarez and J. C. Riquelme

Big data analytics for discovering electricity consumption patterns in smart cities (Journal Article)

Energies, 11 (3), pp. 683, 2018.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

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

A novel Spark-based multi-step forecasting algorithm for big data time series (Journal Article)

Information Sciences, 467 , pp. 800-818, 2018.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

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

Big data time series forecasting based on nearest neighbors distributed computing with Spark (Journal Article)

Knowledge-Based Systems, 161 (1), pp. 12-25, 2018.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

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

A scalable approach based on deep learning for big data time series forecasting (Journal Article)

Integrated Computer-Aided Engineering, 25 (4), pp. 335-348, 2018.

(Abstract | Links | BibTeX | Tags: deep learning, energy, time series)

D. Gutiérrez-Avilés and J. A. Fábregas and J. Tejedor and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

SmartFD: A real big data application for electrical fraud detection (Conference)

HAIS 13th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2018.

(Links | BibTeX | Tags: big data, energy)

J. F. Torres and A. Troncoso and I. Koprinska and Z. Wang and F. Martínez-Álvarez

Deep learning for big data time series forecasting applied to solar power (Conference)

SOCO 13th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2018.

(Links | BibTeX | Tags: deep learning, energy, time series)

Z. Wang and I. Koprinska and A. Troncoso and F. Martínez-Álvarez

Static and dinamic ensembles of neural networks for power solar forecasting (Conference)

IJCNN International Joint Conference on Neural Networks, 2018.

(BibTeX | Tags: energy, time series)

F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Data Science and Big Data in Energy Forecasting (Journal Article)

Energies, 11 (11), pp. 3224, 2018.

(Links | BibTeX | Tags: big data, energy)

F. Divina and A. Gilson and F. Goméz-Vela and M. García-Torres and J. F. Torres

Stacking ensemble learning for short-term electricity consumption forecasting (Journal Article)

Energies, 11 (4), pp. 949, 2018.

(Abstract | Links | BibTeX | Tags: energy, time series)

2017

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

Deep Learning - Based Approach for Time Series Forecasting with Application to Electricity Load (Conference)

IWINAC International Work-Conference on the Interplay Between Natural and Artificial Computation, Lecture Notes in computer Science 2017.

(Abstract | Links | BibTeX | Tags: deep learning, energy, time series)

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

Scalable Forecasting Techniques Applied to Big Electricity Time Series (Conference)

IWANN International Work-Conference on Artificial Neural Networks, Lecture Notes in Computer Science 2017.

(Links | BibTeX | Tags: big data, energy, time series)

F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Recent Advances in energy Time Series Forecasting (Journal Article)

Energies, 10 (6), pp. 809, 2017.

(Abstract | Links | BibTeX | Tags: energy, time series)

2016

R. Talavera-Llames and R. Pérez-Chacón and M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez

A Nearest Neighbours - Based Algorithm for Big Time Series Data Forecasting (Conference)

HAIS 11th International Conference on Hybrid Artificial Intelligence Systems, Lecture Note in Computer Science 2016.

(Links | BibTeX | Tags: big data, energy, time series)

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

Finding Electric Energy Consumption Patterns in Big Time Series Data (Conference)

DCAI 13th International Conference on Distributed Computing and Artificial Intelligence, Advances in Intelligent Systems and Computing 2016.

(Links | BibTeX | Tags: big data, energy, time series)

83 entries « 1 of 2 »