Publications

Show all

107 entries « 1 of 3 »

2021

J. F. Torres and M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso

Electricity consumption time series forecasting using Temporal Convolutional Networks (Conference)

Conference of the Spanish Association for Artificial Intelligence (CAEPIA'21), Lecture Notes in Artificial Intelligence 2021.

(BibTeX | Tags: deep learning, time series)

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)

M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso and G. Asencio-Cortés

HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting (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, time series)

M. A. Molina and M. J. Jiménez-Navarro and F. Martínez-Álvarez and G. Asencio-Cortés

A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery (Conference)

HAIS, 12886 , Lecture Notes in Computer Science 2021.

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

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

Deep Learning for Time Series Forecasting: A Survey (Journal Article)

Big Data, 9 (1), pp. 3-21, 2021.

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

A. M. Fernández and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration (Journal Article)

Big Data Research, 19-20 , pp. 100135, 2020.

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

K. Asim and E Elawadi and F. Martínez-Álvarez and I. A. Niaz and S. R. M. Sayed and T. Iqbal

Seismicity Analysis and Machine Learning Models for Short-Term Low Magnitude (Journal Article)

Soil Dynamics and Earthquake Engineering, 130 , pp. id105932, 2020.

(Links | BibTeX | Tags: natural disasters, time series)

D. T. Bui and N.-D. Hoang and F. Martínez-Álvarez and P.-T. T. Ngo and P. V. Hoa and T. D. Pham and P. Samui and R. Costache

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area (Journal Article)

Science of the Total Environment, 701 , pp. id134413, 2020.

(Links | BibTeX | Tags: natural disasters, time series)

D. Guijo-Rubio and A. M. Durán-Rosal and P. A. Gutiérrez and A. Troncoso and C. Hervás-Martínez

Time series clustering based on segment typologies extraction (Journal Article)

IEEE Transactions on Cybernetics, 2020.

(Abstract | Links | BibTeX | Tags: 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)

F. Martínez-Álvarez and A. Morales-Esteban

Big data and natural disasters: New approaches for temporal and spatial massive data analysis (Editorial) (Journal Article)

Computers and Geosciences, 129 , pp. 38-39, 2019.

(Links | BibTeX | Tags: big data, natural disasters, 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)

M. S. Tehrany and S. Jones and F. Shabani and F. Martínez-Álvarez and D. T. Bui

A Novel Ensemble Modelling Approach for the Spatial Prediction of Tropical Forest Fire Susceptibility Using Logitboost Machine Learning Classifier and Multi-source Geospatial Data (Journal Article)

Theoretical and Applied Climatology, 137 , pp. 637-653, 2019.

(Links | BibTeX | Tags: natural disasters, time series)

A. Galicia and R. Talavera-Llames and A. Troncoso and I. Koprinska and F. Martínez-Álvarez

Multi-step forecasting for big data time series based on ensemble learning (Journal Article)

Knowledge Based-Systems, 163 , pp. 830-841, 2019.

(Links | BibTeX | Tags: big data, 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

D. Gutiérrez-Avilés and R. Giráldez and F. J. Gil-Cumbreras and C. Rubio-Escudero

TRIQ: a new method to evaluate triclusters (Journal Article)

BioData Mining, 11 (1), pp. 15, 2018.

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

A. Troncoso and P. Ribera and G. Asencio-Cortés and I. Vega and D. Gallego

Imbalanced classification techniques for monsoon forecasting based on a new climatic time series (Journal Article)

Environmental Modelling & Software, 106 (6), pp. 48-56, 2018.

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

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)

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)

E. Florido and G. Asencio-Cortes and J. L. Aznarte and C. Rubio-Escudero and F. Martinez-Alvarez

A novel tree-based algorithm to discover seismic patterns in earthquake catalogs (Journal Article)

Computers and Geosciences, (115), pp. 96-104, 2018, ISSN: 0098-3004.

(Abstract | Links | BibTeX | Tags: natural disasters, time series)

X. Shang and X. Li and A. Morales-Esteban and G. Asencio-Cortes and Z. Wang

Data field-based K-means clustering for spatio-temporal seismicity analysis and hazard assessment (Journal Article)

Remote Sensing, 10 (461), pp. 1-22, 2018, ISSN: 2072-4292.

(Abstract | Links | BibTeX | Tags: natural disasters, time series)

G. Asencio-Cortes and A. Morales-Esteban and X. Shang and F. Martinez-Alvarez

Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure (Journal Article)

Computers and Geosciences, (115), pp. 198-210, 2018, ISSN: 0098-3004.

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

A. Gomez-Losada and G. Asencio-Cortes and F. Martinez-Alvarez and J. C. Riquelme

A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information (Journal Article)

Environmental Modelling and Software, (110), pp. 52-61, 2018, ISSN: 1364-8152.

(Links | BibTeX | Tags: time series)

N. Bokde and Marcus W. Beck and F. Martínez-Álvarez and K. Kulat

A novel imputation methodology for time series based on pattern sequence forecasting (Journal Article)

Pattern Recognition Letters, 116 , pp. 88-96, 2018.

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

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)

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

Applications of computational intelligence in Time Series (Journal Article)

Computational Intelligence and Neuroscience, article id 9361749 , 2017.

(Links | BibTeX | Tags: time series)

N. Bokde and A. Troncoso and G. Asencio-Cortés and K. Kulat and F. Martínez-Álvarez

Pattern sequence similarity based techniques for wind speed forecasting (Conference)

ITISE International Work-Conference on Time Series Analysis, 2017.

(BibTeX | Tags: time series)

N. Bokde and G. Asencio-Cortes and F. Martinez-Alvarez and K. Kulat

PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm (Journal Article)

R Journal, 1 (9), pp. 324-333, 2017, ISSN: 2073-4859.

(Abstract | BibTeX | Tags: time series)

G. Asencio-Cortes and S. Scitovski and R. Scitovski and F. Martinez-Alvarez

Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction (Journal Article)

Earth Science Informatics, 3 (10), pp. 303-320, 2017, ISSN: 1865-0481.

(Links | BibTeX | Tags: natural disasters, time series)

107 entries « 1 of 3 »