Pedro Lara Benítez

A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case

JM Riquelme-Dominguez, M Carranza-García, P Lara-Benítez, FM González-Longatt

International Journal of Electrical Power & Energy Systems, vol. 156, p. 109730

2024 | DOI: 10.1016/j.ijepes.2023.109730

Short-term solar irradiance forecasting in streaming with deep learning

P Lara-Benítez, M Carranza-García, JM Luna-Romera, JC Riquelme

Neurocomputing, vol. 546, p. 126312

2023 | DOI: 10.1016/j.neucom.2023.126312

Data streams classification using deep learning under different speeds and drifts

P Lara-Benítez, M Carranza-García, D. Gutiérrez-Avilés, JC Riquelme

Logic Journal of the IGPL

2022 | DOI: 10.1093/jigpal/jzac033

Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting

M Carranza-García, P Lara-Benítez, JM Luna-Romera, JC Riquelme

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

2021 | DOI: 10.1007/978-3-030-87869-6_62

Evaluation of the Transformer Architecture for Univariate Time Series Forecasting

P Lara-Benítez, L. Gallego-Ledesma, M Carranza-García, JC Riquelme

Advances in Artificial Intelligence. CAEPIA 2021. Lecture Notes in Computer Science, vol 12882, p. 106-115

2021 | DOI: 10.1007/978-3-030-85713-4_11

Enhancing Object Detection in Autonomous Vehicles by Optimizing Anchor Generation and Addressing Class Imbalance

M Carranza-García, P Lara-Benítez, J García-Gutiérrez, JC Riquelme

Neurocomputing vol. 449, p. 229-244

2021 | DOI: 10.1016/j.neucom.2021.04.001

On the performance of one-stage and two-stage object detectors in autonomous vehicles using camera data.

M Carranza-García, Jesús Torres-Mateo, P Lara-Benítez, J García-Gutiérrez

Remote Sensing vol. 13, no 1, p. 89

2020 | DOI: 10.3390/rs13010089

An Experimental Review on Deep Learning Architectures for Time Series Forecasting

P Lara-Benítez, M Carranza-García, JC Riquelme

International Journal of Neural Systems (IJNS)

2020 | DOI: 10.1142/S0129065721300011

Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting

P Lara-Benítez, M Carranza-García, JM Luna-Romera, JC Riquelme

Applied Sciences 10 (7), 2322

2020 | DOI: 10.3390/app10072322

On the Performance of Deep Learning Models for Time Series Classification in Streaming

P Lara-Benítez, M Carranza-García, F Martínez-Álvarez, JC Riquelme

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268

2020 | DOI: 10.1007/978-3-030-57802-2_14

Asynchronous dual-pipeline deep learning framework for online data stream classification

P Lara-Benítez, M Carranza-García, J García-Gutiérrez, JC Riquelme

Integrated Computer-Aided Engineering, 1-19

2020 | DOI: 10.3233/ICA-200617