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Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities

Energies (Basel), 2018-03, Vol.11 (3), p.683

2018

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Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting

Applied sciences, 2020-04, Vol.10 (7), p.2322

2020

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Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance

Artificial intelligence in medicine, 2020-11, Vol.110, p.101976-101976, Article 101976

2020

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Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images

Nanomaterials (Basel, Switzerland), 2021-10, Vol.11 (10), p.2706

2021

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Short-term solar irradiance forecasting in streaming with deep learning

Neurocomputing (Amsterdam), 2023-08, Vol.546, p.126312, Article 126312

2023

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Analysis of the Evolution of the Spanish Labour Market Through Unsupervised Learning

IEEE access, 2019, Vol.7, p.121695-121708

2019

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An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market

Heliyon, 2024-02, Vol.10 (3), p.e25838-e25838, Article e25838

2024

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External clustering validity index based on chi-squared statistical test

Information sciences, 2019-06, Vol.487, p.1-17

2019

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Object detection using depth completion and camera-LiDAR fusion for autonomous driving

Integrated computer-aided engineering, 2022-01, Vol.29 (3), p.241-258

2022

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Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation

Integrated computer-aided engineering, 2024-04, Vol.31 (3), p.307-326

2024

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A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation

Journal of biomedical informatics, 2017-08, Vol.72, p.33-44

2017

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An approach to validity indices for clustering techniques in Big Data

Progress in artificial intelligence, 2018-06, Vol.7 (2), p.81-94

2018

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Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology

16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021), 2021, Vol.1401, p.706-716

2021

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Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting

16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021), 2021, Vol.1401, p.654-664

2021

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Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering

14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019, Vol.950, p.3-13

2019

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An empirical analysis of the relationship among price, demand and CO 2 emissions in the Spanish electricity market

Heliyon, 2024-02, Vol.10 (3), p.e25838

2024

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An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark

Advances in Artificial Intelligence, 2016, Vol.9868, p.160-169

2016

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Evaluation of the Transformer Architecture for Univariate Time Series Forecasting

Advances in Artificial Intelligence, 2021, Vol.12882, p.106-115

2021

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SMART METERS: POTENTIAL SAVINGS FOR CONSUMERS

DYNA, 2018-05, Vol.93 (1), p.244-244

2018

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CÓMO TRANSFORMAR LA INFORMACIÓN DEL CONTADOR ELÉCTRICO INTELIGENTE EN AHORRO PARA EL CONSUMIDOR?

DYNA ENERGIA Y SOSTENIBILIDAD, 2018, Vol.7 (1), p.13 p.-13 p.

2018

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An Approach to Enhance Time Series Forecasting by Fast Fourier Transform

18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023, Vol.749, p.259-268

2023

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Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation

International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023, Vol.748, p.319-328

2023

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Efficient Short-Term Time Series Forecasting with Regression Trees

18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023, Vol.750, p.101-110

2023

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Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities

Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting

Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance

Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images

Short-term solar irradiance forecasting in streaming with deep learning

Analysis of the Evolution of the Spanish Labour Market Through Unsupervised Learning

An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market

External clustering validity index based on chi-squared statistical test

Object detection using depth completion and camera-LiDAR fusion for autonomous driving

Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation

A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation

An approach to validity indices for clustering techniques in Big Data

Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology

Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting

Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering

An empirical analysis of the relationship among price, demand and CO 2 emissions in the Spanish electricity market

An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark

Evaluation of the Transformer Architecture for Univariate Time Series Forecasting

SMART METERS: POTENTIAL SAVINGS FOR CONSUMERS

CÓMO TRANSFORMAR LA INFORMACIÓN DEL CONTADOR ELÉCTRICO INTELIGENTE EN AHORRO PARA EL CONSUMIDOR?

An Approach to Enhance Time Series Forecasting by Fast Fourier Transform

Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation

Efficient Short-Term Time Series Forecasting with Regression Trees

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