Publications

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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)

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. 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.

(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)

F. J. Duque-Pintor and M. J. Fernández-Gómez and A. Troncoso and F. Martínez-Álvarez

A new methodology based on imbalanced classification for predicting outliers in electricity demand time series (Journal Article)

Energies, 9 (9), pp. 752, 2016.

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

2015

A. Troncoso and S. Salcedo-Sanz and C. Casanova-Mateo and J. C. Riquelme and L. Prieto

Local models regression trees for very short-term wind speed predictions (Journal Article)

Renewable Energy, 81 , pp. 589-598, 2015.

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

F. Martínez-Álvarez and A. Troncoso and G. Asencio-Cortés and J. C. Riquelme

A Survey on Data Mining Techniques Applied To Electricity-Related Time Series Forecasting (Journal Article)

Energies, 8 (11), pp. 13162-13193, 2015.

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

2014

M. Rana and I. Koprinska and A. Troncoso

Forecasting hourly electricity load profile using neural networks (Conference)

IJCNN International Joint Conference on Neural Networks, 2014.

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

2013

I. Koprinska and M. Rana and A. Troncoso and F. Martínez-Álvarez

Combining Pattern Sequence Similarity with Neural Networks for Forecasting Electricity Demand Time Series (Conference)

IJCNN International Joint Conference on Neural Networks, 2013.

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

2011

F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme and J. S. Aguilar-Ruiz

Energy Time Series Forecasting Based on Pattern Sequence Similarity (Journal Article)

IEEE Transactions on Knowledge and Data Engineering, 23 (8), pp. 1230-1243, 2011.

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

F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme and J. S. Aguilar-Ruiz

Discovery of Motifs for Forecast Outlier Occurrence in Time Series (Journal Article)

Pattern Recognition Letters, (32), pp. 1652–1665, 2011.

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

2009

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

Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences (Conference)

IDA Intelligent Data Analysis, Lecture Notes in Computer Science 2009.

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

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

Reconocimiento de Patrones aplicado a la Predicción de Series Temporales (Workshop)

CAEPIA XIII Conferencia de la Asociación Española para la Inteligencia Artificial. MINCODA I Workshop International on Mining of Non-Conventional Data, 2009.

(BibTeX | Tags: energy, time series)

2008

A. Troncoso and J. C. Riquelme and J. S. Aguilar-Ruiz and J. M. Riquelme-Santos

Evolutionary Techniques Applied to the Optimal Short-Term Scheduling of the Electrical Energy Production (Journal Article)

European Journal of Operational Research, 185 , pp. 1114-1127, 2008.

(Abstract | Links | BibTeX | Tags: energy)

A. Troncoso and F. Martínez-Álvarez and J. C. Riquelme and J. S. Aguilar-Ruiz

Advanced Techniques Applied To Forecast Energy Time Series (Workshop)

CLAIO XIV Latin Ibero-American Congress on Operations Research (I EUREKA Workshop on Knowledge Discovery, Knowledge Management and Decision Making), 2008.

(BibTeX | Tags: energy, time series)

F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme and J. S. Aguilar-Ruiz

LBF: A Labeled-Based Forecasting Algorithm and its Application to Electricity Price Time Series (Conference)

ICDM'08 IEEE International Conference on Data Mining, 2008.

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

2007

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

Discovering Patterns in Electricity Price Using Clustering Techniques (Conference)

ICREPQ International Conference on Renewable Energies and Power Quality, 2007.

(BibTeX | Tags: energy, time series)

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

Técnicas Basadas en Vecinos Cercanos para la Predicción de los Precios de la Energía en el Mercado Eléctrico (Conference)

CEDI II Congreso Español de Informática. SICO II Simposio de Inteligencia Computacional), 2007.

(BibTeX | Tags: energy, time series)

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

Aplicación de Técnicas de Clustering a la Serie Temporal de los Precios de la Energía en el Mercado Eléctrico (Conference)

CEDI II Congreso Español de Informática. TAMIDA V Taller Nacional de Minería de Datos y Aprendizaje, 2007.

(BibTeX | Tags: energy, time series)

A. Troncoso and J. M. Riquelme-Santos and A. Gómez-Expósito and J. L. Martínez-Ramos and J. C. Riquelme

Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques (Journal Article)

IEEE Transactions on Power Systems, 22 (3), pp. 1294-1301, 2007.

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

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

Partitioning-Clustering Techniques Applied to the Electricity Price Time Series (Conference)

IDEAL Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science 2007.

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

2006

A. Troncoso

Advances in Optimization and Prediction Techniques: Real-World Applications (Journal Article)

Artificial Intelligence Communications, 19 (3), pp. 295-297, 2006.

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

65 entries « 1 of 2 »